这么炸裂嘛 夫妻俩去酒店开房,半夜老公在隔壁开房叫🐔,这是图啥呢? 现场视频太激烈了,你们想看嘛🤣 #吃瓜 #夫妻日常 #聊天记录

Channel
吃瓜曝光|时事热点
@luanlunsdjg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
31,359subscribers
-4,902 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 | -1002332727280 |
|---|---|
| Type | Channel |
| Username | @luanlunsdjg |
| Description | #缅甸 #柬埔寨 #菲律宾 #迪拜 #东南亚 #老挝 #泰国 #马来西亚 #印度 #全球新闻 #曝光 #吃瓜 #黑料 商务合作 @wanzaiyingshibot |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/luanlunsdjg |
Topic
Other / unclassifiable — 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 63% 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 |
|---|---|---|
| 25 Sept 2026, 10:22 | 31,359 | -1,740 |
| 18 Sept 2026, 21:01 | 33,099 | -758 |
| 16 Sept 2026, 10:59 | 33,857 | +4,075 |
| 14 Sept 2026, 12:56 | 29,782 | -479 |
| 13 Sept 2026, 01:21 | 30,261 | -820 |
| 11 Sept 2026, 02:02 | 31,081 | -1,248 |
| 8 Sept 2026, 06:01 | 32,329 | -1,326 |
| 5 Sept 2026, 00:01 | 33,655 | -755 |
| 3 Sept 2026, 06:07 | 34,410 | +9,489 |
| 2 Sept 2026, 02:33 | 24,921 | -278 |
| 1 Sept 2026, 01:18 | 25,199 | -85 |
| 31 Aug 2026, 02:37 | 25,284 | -388 |
| 30 Aug 2026, 00:04 | 25,672 | -355 |
| 29 Aug 2026, 01:08 | 26,027 | -334 |
| 28 Aug 2026, 00:16 | 26,361 | -296 |
| 27 Aug 2026, 03:45 | 26,657 | -285 |
| 26 Aug 2026, 03:34 | 26,942 | -368 |
| 25 Aug 2026, 05:08 | 27,310 | -403 |
| 24 Aug 2026, 06:25 | 27,713 | -859 |
| 22 Aug 2026, 15:44 | 28,572 | first reading |
Engagement
197 posts held, back to 6 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 108 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.62%
- avg views ÷ 31,359 subscribers
- Avg views / post
- 508
- 114 posts measured
- Reaction rate
- 0.165%
- reactions ÷ views · ER floor
- Posts in window
- 114
- of 197 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 31 of 114 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 197 (6 August 2026 – 30 September 2026) |
| Views total | 57,884 |
| Reactions total | 29 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 12:43 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
- ≈3,190
- Videos
- ≈2,040
- Links
- ≈2
Lifetime counters from Telegram’s own channel header, read 30 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
- 1h 46m
- Average length
- 1m 11s
Measured directly from 90 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
61 reactions across 44 posts, in 6 distinct kinds. The most used accounts for 78.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 48 | 78.7% | |
| 👍 | 6 | 9.84% | |
| 😁 | 3 | 4.92% | |
| 🔥 | 2 | 3.28% | |
| 🎉 | 1 | 1.64% | |
| 😢 | 1 | 1.64% |
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 58 of the 197 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 61 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 197 most recent posts we hold, published 6 August 2026 to 30 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
近日佳木斯新玛特迪桑特专柜女销售刘佳的试衣间性X视频在网络疯传。视频显示,刘佳在店内试衣间与男子发生关系,画面尺度极大,迅速在抖音、微博等平台扩散。事件曝光后,刘佳被网友扒出身份为该品牌女销售,长期在佳木斯新玛特门店工作,视频疑似通过自拍外流。目前刘佳尚未公开回应,但相关讨论已从“试衣间啪啪啪”转向对其职业形象的质疑,#刘佳试衣间 #迪桑特女销售 #佳木斯新玛特 #试衣间视频 #黑料网
这两天,范冰冰范丞丞又上热搜了,被追着要债6700万 谁说范爷现在混的不好了,一年挣18个亿,看来转战海外拍的这些伦理片值了,苍老师是单纯为了拍电影而拍电影,范老师拍电影是为了卖美妆,顺便拿个金马奖
长沙年销售额1000万的网红包子铺清泉阁 员工在案板上剪脚指甲 不懂就问,这种吃了会传染脚气嘛🫠 #爆料
户晨风都开始找工作了,期望月薪八万。 近日,一份疑似科技博主户晨风的 BOSS 直聘简历在网上引发关注。 网传简历显示,户晨风27岁,大专学历,8年工作经验。工作经历一栏写着2023年2月至2025年9月,同时在北京字节跳动和上海哔哩哔哩担任博主。教育背景是南京航空航天大学继续教育学院软件工程专业大专。 求职意向是成都的内容运营岗位,期望月薪50-80K,也就是5万到8万。 自我介绍中写道:"2025 年抖音平台流量 400 亿 +,擅长及精通短视频整体运营,包括内容策划、拍摄效果、剪辑手法、发布规划、直播形式及内容。" 值得注意的是,简历中的年龄、博主身份等信息与户晨风公开情况基本对得上。
🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥 🏆🏆🏆🏆🏆🏆🏆🏆🏆 🏆🏆🏆🏆🏆🏆🏆🏆🏆 🫥🫥🫥🫥🫥🫥🫥🫥🫥 🫥🫥🫥🫥🫥🫥🫥🫥🫥 🌐官方网址 ➔ NG.VIP 🤖官方飞投 ➔ @NN88 @NG66 📢官方频道 ➔ @NN55 @NG99 👥官方客服 ➔ @NN66 @NN77 🇨🇳免注册 · 免实名|点击一键登录 🇨🇳南宫娱乐PG电子掀起百万狂潮 🫥🫥🫥🫥🫥🫥🫥🫥🫥 ➡️南宫PC2.0满赔 OK上押300万U ➡️南宫综合娱乐平台 OK上押80万U ➡️南宫集团PC2.0满赔 上押200万U ➡️南宫集团PC 网盘群 上押100万U ⭐️南宫集团德州扑克➔ @NGDZ 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥
❤1
北京理工大学通告开除女拳师裴轶 经查实,裴某存在严重违反教师职业道德规范和行为准则等行为,造成严重不良影响。 依据相关规定,经研究决定,取消裴某研究生指导教师资格,撤销其北京理工大学教师岗位任职资格,解除聘用关系。
刘大炮不吃奶露拖野战事件再添猛料,关键人物出来回应,剧情直接翻盘 #刘大炮 #刘大炮和奶露拖 #最新吃瓜 #不吃奶露拖
笑掉大牙!#杜淳妻子王灿被美容院骗去做灌肠 灌肠也就算了还灌错了位置。 请问这个灌肠灌到什么地方去了! 新闻来源:新晚报
池州学院最近出了个大瓜,锦鲤小灏这个抖音的女生火了,粉丝六万多,平时发各种精致自拍穿搭,看着就是校园里那种会打扮会拍的女生。事情大概是有人给她在学院体育场游乐区送了超大一捧999朵粉玫瑰,排场很大,她还穿了仙女装拍视频发网上,结果没几天就被扒出来对方是个刚分手没几天的男生,两边前任都出来喊无缝衔接,再加上男的好像结过婚,一下子全网都在搜这个名字。
❤1
据说这位美女迎来了人生的高光时刻,全国都知道了她的爱好!
又有瓜吃了,罗永浩摊上大事了!😂 9月27日晚,锤子科技早期投资人、紫辉创投创始人郑刚,在微博实名举报罗永浩及“交个朋友”重大偷税漏税。 两人结怨7年,从锤子科技旧账、1500万债务纠纷一路互撕至今。 这次郑刚出手更狠:称罗永浩借尽微、李钧、罗永秀、黄贺等人名义,注册数十家空壳公司走账、洗钱,完事就批量注销几十家有限合伙,妄图抹平痕迹。 郑刚放话:就算注销,也能依法“起死回生”——追溯核查,看这些合伙里走了多少账、欠了多少税;并公开征集律所、审计,入场清查锤子15年烂账,涉及约3亿标的。 罗永浩随即反击:定性“诬告”、已截屏取证,并反指郑刚身为限高失信被执行人却疑似非法出境。 实名举报不等于定罪,但该查的账,终归要查清楚。
Showing the 12 most recent of 197 posts we hold for @luanlunsdjg. 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
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜曝光|时事热点” (@luanlunsdjg), 31,359 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/luanlunsdjg.
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.