#玉汇 #kokuhui #古装 #楼兰幻梦 #翘臀 玉汇《楼兰幻梦》古装系列。她身着薄纱楼兰长裙,双手揉捏雪白丰乳, 同时扭动肥美翘臀对着镜头轻轻摇摆,纱裙半褪,乳浪与臀浪齐晃,媚眼回眸低喘,古风骚韵拉满。

Channel
瓜友/猎奇/SM/曝光/搞笑反差新闻
@cg6669
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
71,971subscribers
-11,299 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002728123217 |
|---|---|
| Type | Channel |
| Username | @cg6669 |
| Description | 本频道主更内容: #吃瓜 #明星 #网红 #黑料 #泄密 #爆料 本频道内容均为网传和投稿,各位瓜友真假自辩,请理性吃瓜! 东南亚有话说 @baoguangtai110 全网曝光: @baoguang117 全网最大吃瓜重口味群: @cg6669 高薪求职招聘群: @zpqz9 投稿/商务 @yy261 |
| Created | Between 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/cg6669 |
Topic
Memes & entertainment — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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, 16:16 | 71,971 | -1,720 |
| 15 Sept 2026, 14:17 | 73,691 | -2,216 |
| 13 Sept 2026, 23:37 | 75,907 | -1,282 |
| 12 Sept 2026, 05:56 | 77,189 | -1,602 |
| 9 Sept 2026, 22:37 | 78,791 | -1,053 |
| 6 Sept 2026, 16:56 | 79,844 | -449 |
| 4 Sept 2026, 02:38 | 80,293 | -764 |
| 2 Sept 2026, 17:36 | 81,057 | +471 |
| 1 Sept 2026, 18:15 | 80,586 | -541 |
| 31 Aug 2026, 19:54 | 81,127 | -276 |
| 30 Aug 2026, 20:05 | 81,403 | -518 |
| 29 Aug 2026, 22:14 | 81,921 | +232 |
| 28 Aug 2026, 20:06 | 81,689 | -651 |
| 27 Aug 2026, 21:44 | 82,340 | -230 |
| 26 Aug 2026, 19:03 | 82,570 | -346 |
| 25 Aug 2026, 19:52 | 82,916 | +821 |
| 24 Aug 2026, 21:04 | 82,095 | -525 |
| 23 Aug 2026, 03:18 | 82,620 | +881 |
| 21 Aug 2026, 18:06 | 81,739 | -336 |
| 20 Aug 2026, 13:26 | 82,075 | first reading |
Engagement
1,112 posts held, back to 7 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 106 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.06%
- avg views ÷ 71,971 subscribers
- Avg views / post
- 43.2
- 642 posts measured
- Reaction rate
- 1.80%
- reactions ÷ views · ER floor
- Posts in window
- 642
- of 1,112 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 11 of 642 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 1,112 (7 August 2026 – 26 September 2026) |
| Views total | 27,712 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 01:59 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
- ≈13,400
- Videos
- ≈31,300
- Links
- ≈2,040
Lifetime counters from Telegram’s own channel header, read 27 September 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
- 13h 20m
- Average length
- 1m 02s
Measured directly from 779 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
13 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 61.5% | |
| 💋 | 1 | 7.69% | |
| 🔥 | 1 | 7.69% | |
| 😁 | 1 | 7.69% | |
| 😱 | 1 | 7.69% | |
| 😴 | 1 | 7.69% |
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 16 of the 1,000 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 10 August 2026 to 26 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
孟以钦 21岁抖音网红 大瓜爆料 黑道千金 人设被扒 约会私密视频在网上疯传 视觉很统一:副驾看窗外、车旁打卡、跪在战神车头前。但近日不少网友表示怀疑,车是谁的、人是谁养的,到底是不是黑道千金,一系列问题被抛出来 #抖音 #网红 #黑道千金 #孟以钦
📱 【家有儿女 魔幻篇】第1-6集 经典家庭记忆迎来彻底崩坏的魔幻脑洞改造。当调皮捣蛋的刘星鬼迷心窍地将姐姐的私密内裤套在飞机杯上时,超自然的魔幻法则竟让这个简陋的道具瞬间产生诡异共鸣,直通姐姐现实中的隐秘阴道。荒诞不经的设定与禁忌刺激的意念交融,将童年情怀彻底拉入不可回头的深渊。 #家有儿女魔幻篇 #AI短剧 #成人短剧 #真人ai
范冰冰接了部日本禁忌片,改编谷崎润一郎那本《疯癫老人日记》,公公儿媳那套病态暧昧全上了。预告里她疑似真空出镜,洗澡后故意留门缝,瘫痪老人偷窥那戏被说尺度直接拉满。圈内都在传这等于跟内地市场彻底切割,海外小众路线硬刚热度,评论两极,有人夸敢演有人骂没底线。 #观察社 #范冰冰 #刚刷到
大晚上不睡觉,跑狗窝里日狗 #人兽 #狗子 #狗
西瓜当球踢不是问题 😨
😂🙏🫡🙇♂️|幸运限定转盘 🎉 中秋遇国庆 · 双节同庆狂欢10天 🎉 单笔有效投注满1️⃣0️⃣ USDT解锁活动 · 累计投注赢转盘机会 🩷❤️🧡💛💚 🩷❤️🧡💛 🩷❤️🧡💛 ——————【双节四重福利】—————— 🟢 双节体育包赔券 享50%体育包赔,单张最高返还288 USDT 🟢 双节充值优惠券 充值额外加赠10%,单次最高赠288 USDT 🟢 双节现金红包 幸运抽取1.8、8.8或88 USDT现金红包 🟢 双节实物大奖 参与幸运转盘,有机会赢取iPhone Duo ———————【双节幸运奖池】—————— 💎 单笔有效投注满10 USDT,解锁活动资格 💎 累计有效投注满25 USDT,获得转盘机会 💎 累计投注越高,获得的转盘次数越多 💎 达到最高档位,可获得9次转盘机会 ——————【节日任务】—————— ✅ 每日登录领取节日福利 ✅ 完成指定充值解锁奖励 ✅ 完成有效投注领取现金 …
请她吃烤鸭还骂人 😑
都是好女孩 🙂🙂🙂
有点功夫啊
宝宝 #爬行 速度还快些
中国 #红灯区 现在哪里还有这种? #扫街 #记者暗访
Showing the 12 most recent of 1,112 posts we hold for @cg6669. 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.
Mentions
Named by 37 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@shijb89 · 30,5627 posts🇨🇳华人新闻『东南亚大事件』
@xiaocui5 · 11,9227 posts东南亚有话说-华人社区频道导航
@xinw10 · 15,9265 posts东南亚(有话说)|曝光日记
@db933 · 201,9514 posts东南亚大事件|曝光|悬赏|投稿🏆
@dyy83 · 108,7074 posts每日吃瓜/萝莉/猎奇/AV
@luolicg9 · 32,0874 posts菲律宾大事件
@PHDA15 · 90,9804 posts柬埔寨华人大事件
@tx501 · 82,2284 posts安危大事件
@baoguang115 · 83,3913 posts全网曝光台
@baoguang852 · 76,3073 posts东南亚华人日报🇨🇳
@baoguang89 · 31,3773 posts西港大事件
@sszzxxxx · 97,8003 posts全球突发新闻|曝光|黑料
@baoguang203 · 13,8352 posts今日全网曝光频道
@bg833 · 291,8632 posts每日24小时吃瓜|猎奇|抖音
@dy933333 · 5,5092 posts东南亚曝光|安危事件
@xxoo81 · 11,3512 posts招贤纳士(东南亚求职)
@zpqz9 · 30,0462 posts马来西亚大事件
@BG5515 · 12,7391 post菲律宾华人大事件
@bg986 · 12,5301 post今日新闻
@boss2036 · 12,7601 post好奇喵(沙雕猎奇)
@gaoxiaoqipa · 23,9471 post今日黑料抖音/瓜友/AV萝莉/猎奇/吃瓜
@hotx0 · 11,2281 post今日东南亚热搜曝光
@ssss781 · 12,9281 post海外华人新闻曝光
@xinwen986 · 13,4601 post
Names
Channels on the register whose handles appear in this channel's posts.
@tg78com · 19,99221 posts8G.com
@tg8g · 32,5989 posts环球娱乐-官方频道
@hqyl88 · 8,4375 postsU99贵宾会-官方频道
@U99GBH · 3,1075 postsU99.COM【官方福利直播间】
@vvip11 · 4,0715 posts6G全球丨官方爆奖俱乐部
@WWW6G007COM · 1,9795 posts🌐 000 体育-官方频道
@ty000 · 6634 posts奇趣百科 导航
@QQmua · 39,4581 post擦边短剧鼻祖
@svipktv99 · 20,5541 post
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.
“瓜友/猎奇/SM/曝光/搞笑反差新闻” (@cg6669), 71,971 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/cg6669.
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.