#上海 #黄埔 #古巴 #黑妹 卡罗 800p 1500pp 古巴味道的黑妹,样子感觉还行吧,就是比较壮实,不过肥臀还是很不错的,又圆又大,你值得一试。 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520

Channel
洋酒部落
@yangma168
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16,820subscribers
+634 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001735278228 |
|---|---|
| Type | Channel |
| Username | @yangma168 |
| Description | 全国洋酒资源。。 |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/yangma168 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 21:26 | 16,820 | +63 |
| 21 Aug 2026, 11:25 | 16,757 | +14 |
| 20 Aug 2026, 12:52 | 16,743 | +42 |
| 19 Aug 2026, 09:19 | 16,701 | +21 |
| 18 Aug 2026, 09:03 | 16,680 | +45 |
| 17 Aug 2026, 10:17 | 16,635 | +59 |
| 15 Aug 2026, 18:13 | 16,576 | +93 |
| 14 Aug 2026, 07:16 | 16,483 | +44 |
| 13 Aug 2026, 00:45 | 16,439 | +49 |
| 12 Aug 2026, 02:11 | 16,390 | +44 |
| 11 Aug 2026, 02:45 | 16,346 | +63 |
| 10 Aug 2026, 02:02 | 16,283 | +41 |
| 9 Aug 2026, 03:53 | 16,242 | +45 |
| 8 Aug 2026, 05:35 | 16,197 | +11 |
| 7 Aug 2026, 19:31 | 16,186 | no change |
| 7 Aug 2026, 19:27 | 16,186 | first reading |
Engagement
28 posts held, back to 3 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 32 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 14.9%
- avg views ÷ 16,820 subscribers
- Avg views / post
- 2,500
- 27 posts measured
- Reaction rate
- 0.09%
- reactions ÷ views · ER floor
- Posts in window
- 28
- of 28 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 27 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 28 (3 August 2026 – 22 August 2026) |
| Views total | 67,510 |
| Reactions total | 53 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Aug 2026, 11:57 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
- ≈2,610
- Videos
- ≈342
- Links
- ≈12
Lifetime counters from Telegram’s own channel header, read 23 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
- 2m 52s
- Average length
- 17s
Measured directly from 10 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
53 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 79.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 42 | 79.2% | |
| 👍 | 8 | 15.1% | |
| 👏 | 2 | 3.77% | |
| 💩 | 1 | 1.89% |
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 23 of the 28 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 53reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 3 August 2026 to 22 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
#上海 #靠谱洋酒中介 #已上押5000u #假一赔十 #真人真照 营业时间中午12点-凌晨1点,全部真人真照。个人兼职,留学生兼职,中英法日韩俄罗斯等等,洋酒会经常更新,请留意频道。 😀 69 🐍 高超口活 高跟丝袜 情趣内衣 各种姿势配合 配合度极高 服务热情, 课费:2200p 2800pp 😁有地方,也可外出,无套路,真实靠谱。 选妃频道:https://t.me/anliya2215 安排联系:@lxm1198 双向联系:@yjaliy215_bot
#深圳 #福田 #哈萨克斯坦 #混血 #洋马 小团团 1500p 3000pp 人照一致本人。浓眉大眼身材比例完美腿长腰细,而且混血主动热情,属于主攻型的类型,不想动的老哥可以去试试,躺着就行等她来输出。 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520
#南京 #建邺区 #韩国 #混血 #洋马 朴恩惠 1100p 1500pp 韩国混血美女,在南京时间比较长了的,喜欢这个类型的可以试试,也是其他老哥推荐的。感觉看起来还不错。青春靓丽。 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520
❤3
活动继续走起!!!限时399进群!!!包含全国洋马资源500多个,更多资源进会员群查看,欢迎进内部会员群交流出击!
❤2👍1
599进电报会员群,会员群包含全国洋马联系方式500+,还有内部洋马通讯文档,全国各地都有的。进群自己直接联系妹子约课就行,避免中介费,你不要说进群贵,群里很多自聊的洋妞都是可以砍价的,砍一次都少好几百了,比你找中介划算靠谱多了,会员群里都有联系方式的,进群自己约就行。进群永久会员,长期更新,有内部出击交流群,大家出击交流避免踩雷!
👍2❤1💩1
#杭州 #拱墅区 #乌克兰 #洋马 欧欧 800p 1500pp 中文交流流利,之前说在上海读书,差不多170左右,左大臂处有个纹身,皮肤润滑,人照相似9层,颜值好看,气质不错,🐍吻,厚厚的嘴唇很爽,很狂野,女上很猛,值得一试。 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520
❤5👏1
#浙江 #义乌 #乌克兰混血 #洋马 娜莎 800p 1200pp 刚进门人照八九分像,长的漂亮的确实是混血,身高一米六几,罩杯B,毛量正常,重点强调服务很好,基本上要求都能满足并且不会催钟态度也很好建议多去几次,可以浅浅的亲,并且口活也可以口很久,各种姿势都很配合态度很好,有耐心。 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520
❤1
#长沙 #岳麓区 #中越混血 #洋马 玖玖 600p 1000pp 低配版洋马,长相对得起这价格,肤白貌美,骚胸美腿,还很会聊天,带我洗澡后,开始一条龙服务了,细节就不说了,妹子叫床时候娇滴滴的呻吟声十分刺激,让人非常欲罢不能,服务的时候很认真,不偷懒,超级温柔,过程不紧不慢,所有姿势也都配合你,一点都不催人,很投入,抱起来搞和后入最有感觉,像个小妖精似的 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520
❤1
#上海 #泰国 #洋马 丽娜 800p 1500pp ꒰・身高/Height :160 ꒰・胸围/Bust :C ꒰・体重/Weight: 46kg ꒰・年龄/age:24 总评:和照片挺像的,有些纹身,我倒不介意。简单闲聊几句一起进浴室洗澡,洗完躺在床上问能不能简单按摩一下,老师欣然答应,手法还可以。放松差不多了开始正戏,先趴下舔咪咪,手不停地套弄着下面,然后送入嘴里上下吞吐加上舌头舔舐还是挺舒服的。一会后老师送上双乳到面前,边吃奶边玩弄乳头,老师慢慢开始呻吟,进而互相舌吻。见老二梆硬,戴套女上起手,上下摇的挺有劲。随后换成cjs抽动,速度加快老师叫声逐渐变大,顶到深处还会喊yes,感受到小穴收紧,我也加快频率,最终顺利出货,互相抱了一会去洗澡结束。老师英文还可以,交流比较顺畅,服务态度也挺热情,体验不错 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520
❤2
#深圳 #古巴 #BBW #洋马 玛雅 800p 1500pp 巨乳巨臀,极品BBW古巴洋马,尺度很大,玩得很开,三通肛交都可以,配合度超高,服务又多,只要你提出要求,基本都会满足。 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520
❤1
#成都 #成华区 #泰国 #洋马 莉娜 600p 1000pp 微胖 嫩妹 御姐 冷白皮 代聊 反差 敏感车 异域风情 人工白虎 感觉控 深喉 制服。这个价位值得一试,服务态度好,浴室服务细致,馒头逼又紧又热,而且异域加成,英语好的兄弟可能情绪价值更高。 男娘TS部落:@NanN1001 广佛深出击交流群:@fage668888 资源联系:@dabi520
Showing the 12 most recent of 28 posts we hold for @yangma168. 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 — 121,589 of 1,584,486entries 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 2 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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“洋酒部落” (@yangma168), 16,820 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/yangma168.
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.