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Channel
香港扫楼發利大厦三和出击之路
@HK_Saam_Wo
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
27,690subscribers
+10,577 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003674131580 |
|---|---|
| Type | Channel |
| Username | @HK_Saam_Wo |
| Description | 香港扫楼 https://t.me/hk0858888 扫樓榜單 https://t.me/+tdtrX_GD21MyNmZl 深圳私约 https://t.me/+zrpuVngEI-gxZDM1 屌西视频 https://t.me/+93-X5XQHac00NTg1 歡迎各地同胞,不歧視,不攀比,普通話粵語都可以交流 |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/HK_Saam_Wo |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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 |
|---|---|---|
| 17 Sept 2026, 12:58 | 27,690 | -89 |
| 15 Sept 2026, 13:20 | 27,779 | +5,025 |
| 13 Sept 2026, 21:02 | 22,754 | +26 |
| 12 Sept 2026, 06:58 | 22,728 | +5,046 |
| 10 Sept 2026, 04:41 | 17,682 | +50 |
| 6 Sept 2026, 22:14 | 17,632 | +42 |
| 4 Sept 2026, 12:15 | 17,590 | +32 |
| 3 Sept 2026, 00:14 | 17,558 | +25 |
| 1 Sept 2026, 21:37 | 17,533 | +31 |
| 31 Aug 2026, 21:13 | 17,502 | +54 |
| 30 Aug 2026, 18:55 | 17,448 | +52 |
| 29 Aug 2026, 21:24 | 17,396 | +46 |
| 28 Aug 2026, 23:13 | 17,350 | +27 |
| 27 Aug 2026, 22:24 | 17,323 | +7 |
| 26 Aug 2026, 23:57 | 17,316 | +23 |
| 26 Aug 2026, 01:47 | 17,293 | +6 |
| 24 Aug 2026, 22:33 | 17,287 | +11 |
| 23 Aug 2026, 06:17 | 17,276 | +26 |
| 21 Aug 2026, 16:37 | 17,250 | -42 |
| 20 Aug 2026, 14:23 | 17,292 | first reading |
Engagement
74 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 49 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.50%
- avg views ÷ 27,690 subscribers
- Avg views / post
- 1,520
- 53 posts measured
- Reaction rate
- 0.173%
- reactions ÷ views · ER floor
- Posts in window
- 53
- of 74 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 23 of 53 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 September 2026 |
|---|---|
| Posts held | 74 (10 August 2026 – 20 September 2026) |
| Views total | 80,662 |
| Reactions total | 97 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 05:14 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
- 222
- Videos
- 6
- Links
- 19
Lifetime counters from Telegram’s own channel header, read 24 September 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
- 49s
- Average length
- 12s
Measured directly from 4 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
129 reactions across 29 posts, in 4 distinct kinds. The most used accounts for 50.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 65 | 50.4% | |
| 👍 | 60 | 46.5% | |
| 😭 | 3 | 2.33% | |
| 🔥 | 1 | 0.775% |
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 39 of the 74 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 129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 10 August 2026 to 20 September 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
深圳三和大神认证,19岁,FL605E北溪,又可以叫她西子,b奶,163高,走肥,腿脚控冲,美腿玉足,脚很美,脚控师兄冲,可以亲奶,粉奶,前后陪洗,有点龅牙,西紧度不是很紧哦。 记得报三和大神介绍,服务会更好哦。
❤3👍1
深圳三和大神认证,19岁,FL605E北溪,又可以叫她西子,b奶,163高,走肥,腿脚控冲,美腿玉足,可以亲奶,粉奶,前后陪洗,记得报三和大神介绍,服务会更好,进度不是很紧哦。
#发利 #N哥出击认证 9.16 听闻小北回来,马上约好时间,一下班就直奔702G,跟她这几次都不用敲门按门铃了,她知道我要来了的时间就会看监控,我到门口她就自动开门迎接我了。 她的穿着依旧是一袭性感的情趣白衣,非常显她的身材,两个个青筋大奶呼之欲出的感觉,每次都会觉得她这个衣服真的好适合她,挺有气质的。 几天不见,甚是想念,直接跟她拥吻在一起,跟她真的身体相性很好,只是接吻一下,我下面已经硬邦邦了,然后亲了一会儿,我们就脱光光了,身材真的好色,是我最喜欢的肉感身材,屁股跟胸都好大。 进了浴室,她先是用花洒把我们俩的身体淋湿,给我涂好沐浴露仔细洗一下我的身体跟双手,之后她自己全身也涂上,弄的全身滑溜溜,给我胸推,乳交,好软好滑好舒服,之后转背面,用丰臀疯狂摩擦我的肉棒,我实在好舒服,下面硬的不行,我两个手也没闲着,一个手抓她大奶,一个手摸她下面,真的好有感觉噢,然后就帮我冲干净沫子,蹲下来给我水萧了,口的好舒服,也会同时诱…
❤6
📱深圳三和大神😉😉📱📱📱📱📱📱📱📱📱📱📱📱📱 👍407A广西妹,今天第一天来,新女短发,身材好,163cm,C真波粉奶头,皮肤白滑,无赘肉,紧度中上,口无齿感,腿脚很漂亮,脚趾🦶🏻很好看💅🏻,筷子🦵🏻腿😍,不格手,任操盘,会返食。 🥰优点:高挑163cm,C真波,长腿🦵🏻靓脚🦶🏻,皮肤白滑,三和大神身材好👍🏻,会返食。 😶缺点:有少少纹身,好像抽煙,沒陪洗,我不介意。 ⚠️记得报队长或者三和大神介绍的哦。 妹子已经走了
👍53
我三和大神,吃了703F球球,她好久没来了,还不错,皮肤白,真c波,刚来挺紧的,颜值高,里面看更漂亮哦,记得报三和大神介绍来的,服务会更好。
👍2
三和认证,FL605E北溪👍🏻,b奶,MD HG做过,记得报三和大神介绍,服务会更好。 605e北溪
❤2👍1
😉😉🥰发利502-j小贝,19岁嫩妹,以前长发金毛更好看,后入抓着金色马尾嘎嘎干,现在是黑色短发,比较瘦,没有赘肉,皮肤白皙,全身走肥,163左右高,b奶,奶头凹陷,可以亲奶子,可以深插,不格手👍🏻,水很多,紧度中上,周感很好。 🤫优点:年轻,瘦白,颜值还不错,没有整容,脚好看🦶🏻,希腊脚🦶🏻,有美甲💅🏻,颜值比小丽好看,不格手,任操盘,除了胸比小丽小其他都比小丽好,后入很紧,轻微呻吟声,不抽烟没纹身。 🙅♂️缺点:高冷的脸,爱理不理的表情,天生的没办法,没什么服务,吃服务的就算了,话不多,问一句答一句,需要哥哥调教操盘,胸比较小,皮肤滑度一般。 ⚠️记得报三和大神介绍的哦,服务会更加好哦。
❤5👍1
发利508-6
#代出报告 #FL 【學生留名】:YK(k哥) 【出擊時間】:07-8-2026 【老師名字】:小北 【老師房間】:702-G 【香港地區】:#發利大廈 【出擊消費】:600+100+100 【顏值身材】:27岁 D杯 7分 【服務內容】:全套 【上課體驗】: 最近群里一直在热议小北,上一个这么热门的还是闪闪,他们有个共同点:都来自澳门水汇,月初刚好有业务来港约好时间直奔702G,等了10分钟开门迎我立马双乳问候,还没等我反应过来小北舌头径直塞满整个口腔疯狂激吻,差点窒息,这还只是开场白,接着把我拽进浴室,一顿水中潇我的天谁能受得了!急忙岔开话题找回场子挽回点“尊严”接下来双乳和肥臀济满沐浴露代替双手电动马达般的不断摩擦差点走火,急忙往床上跑,服务项目一个接着一个拼命控制自己,找机会赶紧示意提提枪上马,怕女上秒我,选择传教士出水,小北全程热情奔放骚话连篇就跟岛国AV痴女一样,服务绝对是fl天花板,快速穿好衣服交家用 夺门而逃。…
【學生留名】:YK(k哥) #代出 【出擊時間】:07-8-2026 【老師名字】:小丽 【老師房間】:706 K 【香港地區】:#發利大廈 【出擊消費】:600 【顏值身材】:18岁 E杯 7.5分 【服務內容】:嫩妹无服务 【上課體驗】: 头天晚上电梯偶遇小丽礼貌招呼,小丽羞涩回应,身材无懈可击,刚好三和大神已调教服务改善可试吃,预约了小丽,按时入洞房,小丽招呼我洗澡,无培洗服务,无环保吹(可能我没提)戴套吹也没有,倒是舔了我乳头,双手贪婪玩弄着发利最顶e乳,小丽直接撸硬戴套,选择传教试男上观赏着晃动的顶配豪乳来回抽射顺利出水。 【優點缺點】:喜欢E杯粉乳不可错过,30分钟玩奶都值得,缺点就是不可直接补钙,只能吮指乳晕外围,巨龙会硌手,想去的务必考虑清楚。 【滿分打分】:8.5分 【溫馨提醒】:報告僅供參考,請理性選擇,切勿對號入座,報告7天有效期。
❤3
706k,大奶小丽被插哭了😂
😭1
Showing the 12 most recent of 74 posts we hold for @HK_Saam_Wo. 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
@HK_Saam_Wo 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
- 29 August 2026
- Most recent edit
- 29 August 2026
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“香港扫楼發利大厦三和出击之路” (@HK_Saam_Wo), 27,690 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/HK_Saam_Wo.
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.