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Channel
吃瓜曝光|时事热点
@luanlunsdjg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
33,910subscribers
-2,351 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 | -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 | 15 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/luanlunsdjg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:54 | 33,910 | -733 |
| 14 Aug 2026, 06:37 | 34,643 | -537 |
| 12 Aug 2026, 23:28 | 35,180 | -203 |
| 11 Aug 2026, 22:41 | 35,383 | -321 |
| 11 Aug 2026, 00:31 | 35,704 | -151 |
| 10 Aug 2026, 01:45 | 35,855 | -204 |
| 8 Aug 2026, 23:01 | 36,059 | -163 |
| 7 Aug 2026, 23:16 | 36,222 | -39 |
| 7 Aug 2026, 19:15 | 36,261 | no change |
| 7 Aug 2026, 19:05 | 36,261 | first reading |
Engagement
27 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 24 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.44%
- avg views ÷ 33,910 subscribers
- Avg views / post
- 1,170
- 27 posts measured
- Reaction rate
- 0.096%
- reactions ÷ views · ER floor
- Posts in window
- 27
- of 27 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 27 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 27 (6 August 2026 – 12 August 2026) |
| Views total | 31,476 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 03:58 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
- ≈2,750
- Videos
- ≈1,890
- Links
- ≈2
Lifetime counters from Telegram’s own channel header, read 16 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
- 17m 20s
- Average length
- 1m 14s
Measured directly from 14 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
15 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 93.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 93.3% | |
| 👍 | 1 | 6.67% |
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 11 of the 27 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 6 August 2026 to 12 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
被曝涉嫌造假,比尔盖茨女儿的公司业务被质疑。 Phia 是一款购物插件。正常情况下,只有用户通过 Phia 买了东西,Phia 才能向商家收佣金。但调查发现,即使用户根本没用 Phia 完成购物,但只要安了这个插件,Phia 仍把它归为自己的功劳,从商家拿佣金。 在东窗事发后,比尔盖茨的女儿,也就是这个企业的老板 Phoebe Gates,声称她们刚发现这个 BUG,紧急修复了,但实际上在去年 12 月她们就知道了这个问题,一直在涉嫌伪造销售额、骗取推广佣金。
“雅典娜确认遇害”刷屏,母亲却回应:女儿仍是失踪状态 8月10日,“百万网红雅典娜确认遇害”的消息大量传播,还有报道称她遭跨国绑架团伙杀害,与上个月从美国遣返回国的刘某文有关。 但11日,雅典娜母亲袁女士亲自否认:“我从来没有得到女儿已经遇害的消息。”她表示,女儿已经失踪3年,至今生死未卜,也从没人告诉家属此案与刘某文有关。 雅典娜实名孔丽梅,曾获2021年世界小姐澳门赛区季军,短视频账号拥有128万粉丝。其朋友王先生还纠正了几个流传甚广的细节:孔丽梅出生于1994年,并非1995年;2023年6月16日前往菲律宾马尼拉后,曾打电话称资金周转困难,家人给她转了80万元,并非网传的“80万美元、约540万元”。此后孔丽梅彻底失联。 网上所谓“警方受害者名单”也被发现存在误读。宁波公安2023年的反诈视频确实出现“雅典娜LiYa”,但当时的原话是“至今生死未卜”,并没宣布她已遇害。 同样,被大量引用的央视关于刘某文被遣返回国的报道,…
❤1
经其亲友确认,24岁、128万粉的探灵博主姜小柔(本名李某某),因车祸离世。 她主打灵异探险、反封建迷信,靠砸观音像、把生辰八字钉进老树、深夜闯荒宅等争议内容快速涨粉。曾当众砸碎开光观音,说“看看我能活多久,要是出事我请你吃席”。 7月15日凌晨,她从柳州搭顺风车回广州,途经肇庆高速发生严重车祸,送中山大学孙逸仙纪念医院ICU抢救近一个月,8月10日确认不治,生命定格在24岁。家属已发文恳请停止过度揣测,事故属交通意外。年轻生命就此戛然而止,令人唏嘘。 💔博主点评:人一定要有敬畏之心! 24岁,本应该是人生刚刚开始的年纪,却因为一场交通意外,生命永远停在了24岁。无论她过去做过什么内容,也无论她曾经用怎样大胆、甚至极具争议的方式吸引眼球,当一个年轻的生命真正离开的时候,我们首先应该感到惋惜,而不是拿她过去的视频和今天的结局强行联系起来。 尤其是家属已经明确表示,这是交通意外,也恳请大家停止过度揣测。该尊重的事实要尊重,该留给家属…
8月10日,广西南宁航洋城发生捅人事件。据悉,一对夫妻吵架,男方用刀捅伤女方腹部致大量出血后逃离。女方两个孩子呼喊求救,儿子脱衣止血。目击者因恐惧和血泊而发抖哭泣。
哈尔滨24岁女生祁萌(网名糖醋小萌),是主播陈泽的好友,首次出国旅行。 她先在马来西亚吉隆坡游玩一周,8月2日搭乘航班飞抵曼谷素万那普机场,轻信陌生人可以“送她去清迈”,上车后失联,陈泽透露其此行是和网上结识不久的网友同行。 网传她已被蛇头贩卖至妙瓦底诈骗园区,该消息暂无官方证实。
❤3
河北保定市定州女教师出轨健身教练,丈夫录审问视频,还要妻子把出轨“细节”描述的明明白白,然后传网上!
世界小姐“雅典娜”确认遇害,细节公开:被闺蜜骗去菲律宾,落地后被绑架团伙控制,绑匪收到赎金后仍将其杀害,主犯刘某文已被遣返回国! 8月10日,世界小姐“雅典娜”确认遇害:一场以“旅游散心”为名的骗局,最终酿成悲剧。 中国网红“雅典娜”实名孔丽梅,1995年出生于广东,曾获得2021年世界小姐澳门赛区季军,在社交平台拥有百万粉丝。 2023年6月,她原本计划前往菲律宾旅游并进行海外拍摄,却没想到这一趟旅程最终成为人生悲剧的开始。 据报道,孔丽梅是被所谓“闺蜜”李一菲(又名李怡霏)以“旅游散心、海外拍摄”等理由骗至菲律宾马尼拉。抵达当地后,她便被刘某文领导的犯罪团伙控制。 更令人震惊的是,绑匪随后向其家属索要80万美元赎金,约合人民币540万元。家属支付赎金后,她却依然没能获救,最终遭到杀害并被抛尸。 在中国公安部统筹协调下,7月20日,涉嫌在境外针对中国公民实施绑架杀人犯罪的主要嫌疑人刘某文,被遣返回中国,并移交中国警…
❤1
76岁刘晓庆再霸头条,被小38岁前男友告上法庭,索赔504万,调解失败将开庭 8月4日,北京朝阳法院进行庭前调解,双方分歧巨大,调解失败,案件将进入正式审理。 双方关系定性成最大争议: 古柯称: 他2015年以摄影助理身份入职,2016年起搬入刘晓庆别墅同居六年,两人互称“老公老婆” 他同时兼任摄影师、司机、管家等多重角色,月薪仅1万元,并强调“不是被包养”。 刘晓庆则全盘否认恋情与同居,坚称双方只是纯粹雇佣关系,薪资已结清,明确表态“一分钱也不会给”。 关键协议成焦点: 古柯称2021年双方签署过《终止合作协议》,约定刘晓庆支付约504万元补偿(含劳务、分红及陪伴损失),协议上有签字和手印。 刘晓庆一方不认可支付义务。 法律人士指出,若协议无双方签名和明确落款日期,法律效力可能极低。 关系破裂于2021年:古柯创业借钱遭拒后被拉黑,并被要求搬离别墅。 舆论两极分化: 支持古柯的人认为,他付出六年青春与精力…
【堵门捉奸!】 婚姻走到这一步, 已经彻底完了!集美捉奸在床,还要当场问“有没有戴套?” 这种撕破脸的堵门戏码一次次上演,真的让人唏嘘。 婚姻的实质到底是什么? 是爱情,是契约,是相互扶持,还是仅仅一张纸和一套房? 当一方需要用这种极端方式去“捉奸”,信任就已经彻底崩塌,两个人的关系其实早就走到了尽头。 继续纠缠、羞辱、曝光,只会让彼此更狼狈、更受伤。 如果不爱,就放手吧,强扭的瓜不甜。 #婚姻 #出轨 #捉奸 #离婚 #感情尽头
沪姐出钱带着她的巴铁男友环游世界,回来却发现他有六个中国女友,她是备胎中的备胎。沪姐牛逼,马桶中的马桶🙊
河南驻马店西平县“7·30”事件,在历经10天的大抓捕后,最终以夏付刚的落网而落下帷幕。 网传是被漯河市一名看守梨园的张姓老汉举报,从而被抓获的。也有网友爆料称:中共迫使其儿子在玉米地里冲他喊话,才让他选择低头伏法。 由于中共长期以来对新闻自由的打压及不公开、不透明的执法方式,对于真实情况和具体细节,公众无从知晓。 但此时所造成的社会影响并没有因为夏付刚的落网而真正的结束。举报者成为了众矢之的,公众把对社会主义的不满转嫁到了梨园老汉及全体漯河人民身上。
❤1
Showing the 12 most recent of 27 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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“吃瓜曝光|时事热点” (@luanlunsdjg), 33,910 subscribers as measured 15 August 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.