Channel
@HK_Saam_Wo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,235subscribers
+122 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003674131580 |
|---|---|
| Type | Channel |
| Username | @HK_Saam_Wo |
| Description | 深圳三和 @SZ_s_h_d_s 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 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/HK_Saam_Wo |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 10:42 | 17,235 | +38 |
| 15 Aug 2026, 17:52 | 17,197 | +84 |
| 14 Aug 2026, 14:30 | 17,113 | first reading |
14 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 6 pagesof Telegram’s post history, 20 posts per page.
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 8 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 14 (10 August 2026 – 17 August 2026) |
| Views total | 13,562 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Aug 2026, 17:24 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.
Lifetime counters from Telegram’s own channel header, read 17 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.
13 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 84.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 84.6% | |
| 👍 | 2 | 15.4% |
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 8 of the 14 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 10 August 2026 to 17 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.
【香港扫楼一楼一】 https://t.me/hkbg888 【學生留名】： 匿名用户 【出擊時間】：26.8.17 【老師名字】：老挝 ava，25岁，她这么跟我说的 【老師房間】：402 1 【香港地區】：#發利大廈 【出擊消費】：1500 三炮 一炮500 【顏值身材】：颜值气质御姐，绝对不丑，看着顺眼的那种。群内有发过照片，大奶蜂腰肥臀，真奶真屁股 【服務內容】：hj bj 吃蛋，大车 胸部漫游，情趣衣服（自带），带套做爱 【上課體驗】：扫了一整圈，应该是最近最强的囡囡了。身材好，声音甜美，态度恭顺，笑容甜美，进门走时都有香吻相送，会点中文，会英文。当然我是用英文跟她讲骚话。皮肤非常光滑。肉感十足又没有什么赘肉。进门香吻，脱了衣服，边吻边洗边打屁股，肉浪翻腾，这就是个完美的性爱机器，我后面还有发现能确认这一点。洗完帮我擦拭身体，换上渔网衣，丰腴的肉体简直要从网隙迸射而出。我直接在床上手脚并用拥吻上去，毫不抗拒，报之以相…
8.15 #N哥出击认证 #代出 #FL 今天出击了608G芝一，内蒙古妹子，很漂亮，有种混血异域风情感，开门态度很好，穿着黑色抹胸衣很性感，很显胸大。第一次开门我没进说再逛逛哦，她笑盈盈说好的也没有脸黑，第二次再按门进去她就笑的很开心很欢迎我。芝一身材很好，通体雪白无纹身，大C青筋波，胸型很挺很好，身高163左右，不会特别瘦，是我特别喜欢的微微有肉的类型。进去之后她非常热情，夸我帅直接叫我老公，都不好意思了，没脱衣服就隔着裤子摸我鸡鸡，挑逗我，然后脱裤子的时候两眼一直盯死死着我鸡巴，好像要吃我了一样，然后就开始陪洗，洗的很仔细后背跟胳膊手掌也有洗（有的妹妹就帮你洗洗鸡鸡而已）非常好，洗澡的时候也挑逗我，说我鸡鸡大什么的好想吃，真的好骚啊，洗完出来就给我一次性毛巾擦干。之后我就躺床上被她服务了，先是舔我奶头，舔的很舒服也舔了很久，舌头软软的，光是前戏我鸡鸡已经硬到不行了，然后就开始口，本来想加环保但她说嘴唇咬破了出血不好直接吹，…
❤1👍1
避雷806d，就是猪肉灯高跟鞋，脱鞋仔细一看比我还大
508-5❌差评，600无陪冲无服务，+200环保吹两下就停，松松垮垮
8083，拉黑，600块一进门就开始催。全程催，搞完了用清水洗b。不讲卫生。
2026.8.14 奶茶觀察 801c 23湘 , b balls走肥，但係個胸凹咗入去，初到, 左腳有少少紋身，估計好緊 801d 串串妹，小隻馬走肥， A尾波，多人約，19左右 707.8 頂級葡萄📌 706h 20，辣妹B波，廣西，遮住肚腩唔知肥唔肥，樣串柒柒，屌落去幾爽。 705.1 走肥初到18歲，經常傳出強姦式慘叫 705.2 走肥，冇乜波，20左右 7053 ，對奶好大，但係遮鳩住個肚驚肥婆，21左右 601c 被甩套中出妹，佢話佢喺發利破處📌 601b 紋身吋吋老雞 508.5 媲美小麗嘅頂級*** 巨乳📌📌 408b 子咸 408d d 奶小卡 403a 唔優做的紅牌妮子{{茶標}}***📌📌📌 205e 還可以
605D湖北御姐，腿脚漂亮皮肤滑，紧度紧，中超，假波，整容脸，她送我情趣制服让她穿，让我挑选，还有丝袜让他穿，不加钱，买单600+100环保吹，腿控脚控冲，记得报三和大神来的。
发利大厦502-j小贝嫩妹，妹妹不抽烟，口活不错，水很多逼很紧，b奶，奶头凹陷，蜜桃成熟时，腰细，后入抓着小贝金色的发尾嘎嘎干，操出白浆了，水流到小贝一屁股都是，嫩妹简单服务，沒陪洗。
代出报告，在建兴大厦，刚刚食了kh14c3，叫kiki，好嫩，好紧，还是无毛白虎🤣
😉😉三和大神个人推荐，我喜欢的不一定你喜欢。 205d18岁嫩妹腿有🌸纹身 403a新嫩妹筷子腿颜值一般 403g极品嫩妹来三天👍👍👍 403f汤汤👍👍 408a小只马筷子腿比较瘦 408b御姐瘦低大波36d开500👍 408-e夕夕红牌 407c韩国英国人妖 501-1发财妹没吹👍 502-j小贝极品嫩妹清纯👍👍 502-h小贝闺蜜嫩妹👍 704c颜值和腿不错👍👍 704d新女嫩妹后生有纹身不错👍👍 704E🦵🏻极品白嫩颜值一般👍 705g嫩妹清纯舌吻➕200 706c嫩妹依依瘦低大波36e👍👍👍 707-8葡萄嫩妹18岁白瘦嫩👍👍 808-1看着有点高冷还不错 801-1广西馨馨嫩妹👍👍 801-c巧巧筷子腿口活厉害👍👍👍 803-5甜甜👍👍👍 603e后生细细粒 603-f佳佳👍👍👍 603c大波御姐 602b细腰御姐 604-g初秋👍👍 601h嫩妹jk服700 601e嫩妹jk服700 605a长腿御姐 605d长腿…
❤2
701G初秋出击报告: 2027年8月11日 每一次出击都有不同的体验，这次出击小分队推荐了初秋，特点是紧窄水嫩，皮肤吹弹可破以及脸上肉眼可见的胶原蛋白，V彻上越好时间进门按照约定来了个公主抱，搂在怀里看着娇小可爱的初秋，二弟忍不住支起了小帐篷久久不愿释怀，热情尬聊了一番开始了精品服务，除衣侍浴，一对娇小可爱的B+小白兔呼之欲出，不大不小刚刚好，真材实料手感Q弹，不是那种中超能比的，相互清洗完毕进入床上服务环节，初秋很体贴说按照我的节奏来各种服务细节只要不是太过分都能满足，穿上我带来的肉色开档丝袜，秒变办公室新来董秘，幻想着职场潜规则，浮想联翩，二弟被小白兔蹭来蹭去，初秋饱含少女气息的樱桃小嘴吸吮着我的乳头不知疲倦来回不停，进入环保环节，毫无齿感特别是深喉太逼真了，比进入身体还舒服，功夫了得完全不像20来岁的功底，急忙喊停穿上自带的冈本001，女上视觉一流酥胸伴随着节奏来回晃动，配合细细粒小蛮腰上下运动，小穴又紧又窄水多的根本…
今天干了我老相好，发利403g嫩妹，明天最后一天，只开三天，极品嫩妹，在发利逛了好久，始终等不到小耳朵，她熟客太多，又是刚来一两天，我这个人不喜欢提前预约的，我属于随缘有空就进，扫楼扫了几个小时，看了好多次403g还是没空，购物车太多了吃不完，相好同一时间过来，jj就一条昨天都出了2q了，我再去403g一看刚好有空，马上入🚪，我朋友老鼠哥送我入🚪，老师第三次吃她了，难得来一次，可惜只来三天，进去像老情人叙旧一样，不慌不忙，一点也不流程化，我慢慢把包挂在门后，两人互脱衣服，一起🛀🏻，很多女女沒陪洗，老师有前后陪洗，边洗边聊天，还有眼神交流，好像女朋友的感觉，我手边摸他屁股和胸，皮肤好滑，她说最近健身练臀，问我屁股大了没有，我说屁股翘了很多，然后帮我擦身体，我躺下去给我口，口活不错，口的时候会时不时看着你，眼神交流，看着她吃我香蕉的表情，然后带套，慢慢插进去，好舒服，时不时九浅一深，老师嘎嘎叫，我操得她很舒服，我看着她妩媚的表情，她…
❤4
Showing the 12 most recent of 14 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.
Citation-graph rank — 1,254,669 of 1,481,306entries 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.
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.
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 August 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), 17,235 subscribers as measured 17 August 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.