东南亚新闻吃瓜 pinned a video

Channel
东南亚新闻吃瓜
@dnyzx188
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
33,198subscribers
-56 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 | -1001653935384 |
|---|---|
| Type | Channel |
| Username | @dnyzx188 |
| Description | 每日最新生活资讯、狗推日记、行业新闻、吃瓜曝光、币圈资讯、突发事件、让您看尽东南亚大小事。 ➖➖➖➖➖➖➖➖➖➖ 🔍吃瓜Top: @hdjunf 🔍全网吃瓜爆料: @dnyzx1234 🔍华人吃瓜猎奇: @dnyzx1213 🔍泰国爆料: @xjp720 🔍泰国大事件: @BG_1133 🔍求职招聘: @YTT7891 🔍东南亚吃瓜: @dnyzx188 日本 av 种子 : @cosfeng4 📲商务合作: @shixiong789 |
| 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 | 15 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/dnyzx188 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 17:56 | 33,198 | -9 |
| 14 Aug 2026, 07:06 | 33,207 | -7 |
| 12 Aug 2026, 20:16 | 33,214 | -11 |
| 11 Aug 2026, 23:24 | 33,225 | -2 |
| 11 Aug 2026, 02:11 | 33,227 | -5 |
| 10 Aug 2026, 04:48 | 33,232 | -10 |
| 9 Aug 2026, 05:50 | 33,242 | -6 |
| 8 Aug 2026, 03:32 | 33,248 | -6 |
| 7 Aug 2026, 12:16 | 33,254 | first reading |
Engagement
204 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 22 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.18%
- avg views ÷ 33,198 subscribers
- Avg views / post
- 390
- 197 posts measured
- Reaction rate
- 60.0%
- reactions ÷ views · ER floor
- Posts in window
- 204
- of 204 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 3 of 197 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 204 (7 August 2026 – 16 August 2026) |
| Views total | 76,886 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 04:04 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
- ≈9,090
- Videos
- ≈12,400
- Links
- ≈1,550
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
- 56m 02s
- Average length
- 44s
Measured directly from 76 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
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 66.7% | |
| 🔥 | 1 | 33.3% |
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 3 of the 204 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 204 most recent posts we hold, published 7 August 2026 to 16 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
💩#频道互推 🔗 📢 新闻头条事件 📢 今日曝光 📢 内涵段子 📢 求职甩人招聘 📢 亚太新闻 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢 泰国新闻 ------------------------------ 📢 吃瓜搞笑猎奇新闻 📢 西港日记📔柬埔寨新闻中心 📢 素…
#巴基斯坦资讯:伊斯兰堡斯帕科广场“Sparco Plaza大楼”372名狗推被抓案件进展 综合多家巴基斯坦媒体报道:8月12日,巴基斯坦FIA、NCCIA联合突击伊斯兰堡斯帕科广场,一共抓获372名外籍人员,分两起案件立案。 1. FIA(联邦调查局)抓获258人(其中包含中国籍,印尼籍,马来籍,越南籍等):该批人员持旅游、访问、商务签证入境,涉嫌在当地运营呼叫中心,从事签证许可范围以外的经营活动,依据《外国人法案》立案。 2. NCCIA(网络犯罪调查局)抓获114人(111名中国籍、3名越南籍):涉嫌运营网络网恋色情敲诈团伙,通过网络色情聊天录制视频,以此要挟受害人索取钱财,依据《预防电子犯罪法案》立案。 8月13日,当地政府将斯帕科广场划定为临时分监狱,全部嫌疑人就地关押,由FIA与当地警方共同安保。 据当地媒体报道,办案现场查获大量电子作案设备,搜出仿制越南执法机构制服、印章。 经过进一步审讯排查,在全部在…
#网友投稿:东南亚:一场关于机会与命运的远行 从古至今,大多数人都逃不过一种“病”——穷病。很多人会问,明明每个人都有能力,为什么还会陷入贫穷? 因为这个世界,从来不是只有能力就足够。能力人人都有,但机会并不是人人拥有。 在这个人口拥挤、竞争激烈的时代,资源被不断分割,岗位被不断挤压,收入被不断降低。很多人拼尽全力,却依然只能站在原地。不是不努力,而是时代的洪流太快,普通人的脚步太慢。 于是,从此踏上了东南亚的土地。为了梦想,为了一夜翻身,为了只是想寻找一个改变人生的机会。来到这里,进入陌生的城市,做着曾经想不到的工作——灰产 追逐的,其实不是所谓的“暴富”,而是一个机会。一个能让自己翻身的机会。 曾经的东南亚,被很多人看作一片充满可能的土地。这里有新的城市,有快速发展的经济,有别人眼中的“财富窗口”。互联网让世界变得透明,让普通人看到了另一种生活,也让无数人幻想着有一天能够拥有财富、自由和体面的未来。 物以稀为贵…
#国内资讯:浙江温州乐清公安捣毁AI网贷诈骗团伙,30人落网,涉案超千万元! 浙江警视8月14日报道:近日,乐清市公安局对外通报一起电信网络诈骗案。该局依托线索研判、跨区域协同作战,远赴湖南长沙成功捣毁一个利用AI拨号设备实施网贷诈骗的犯罪团伙,抓获涉案人员30名,冻结涉案资金百余万元,全案涉案总额超1000万元。 今年7月,市民王先生到乐清市公安局报案,称自身遭遇网贷诈骗。接报后,办案单位立即开展线索溯源、深度研判,逐步查清该犯罪团伙完整组织架构。 经查,该团伙对外假借科技公司名义经营,内部设置业务员、话务、财务、人事等分工岗位,统一编制、培训诈骗话术,以标准化作案流程伪装正规助贷平台,诱导急需资金周转的群众。 在固定完整证据链后,乐清公安抽调八十余名警力赶赴湖南长沙开展集中抓捕行动,现场将全部团伙成员一举抓获。该团伙使用AI拨号设备批量自动拨打陌生电话引流,锁定有贷款需求的受害人;取得对方信任后,伪造放款截图、垫资凭…
#缅甸资讯:泰昌园区周六夜部分熄灯,仍有大范围亮灯,消息称部分人员正转移 8月15日晚,位于缅甸一侧、泰国达府朴帕县邦卡本村对岸的泰昌园区出现部分区域熄灯、整体亮度下降的情况。现场观察显示,部分建筑已经关闭灯光,但园区中心的大型建筑群仍保持较为明显的照明,园区并未出现整体停运或完全熄灯的迹象。 泰昌园区此前被多方指认为缅甸克伦邦考克特区主要诈骗园区之一。近期,随着当地军事压力及武装冲突加剧,园区及周边安全形势持续受到关注。 据现场消息,近期已有部分人员及相关运营活动陆续向其他地点转移。不过,目前尚无法仅凭夜间灯光变化判断园区内部具体运营情况,也无法据此确认相关诈骗活动是否仍在持续。 从8月15日晚的现场情况来看,泰昌园区部分楼栋虽已熄灯或降低照明强度,但仍有相当数量的建筑保持亮灯,园区整体仍具有明显的人员及运营活动迹象。 现场位置:泰国达府朴帕县邦卡本村对岸、缅甸一侧泰昌园区。 🆒🔴商务合作:渡秋川
#国内资讯:浙江温州乐清警方打掉一千万级非法荐股黑灰产犯罪团伙,抓获15人 浙江警视8月5日报道:近日,乐清市公安局成功打掉一个盘踞在本地的非法荐股黑灰产犯罪团伙,抓获涉案人员15名,涉案金额超1000万元。 7月初,乐清市公安局在开展常态化集中清查行动中发现,辖区一居民住宅楼内存在人员异常聚集,屋内十余人集中办公,频繁拨打电话、操作网络设备,墙面、桌面张贴大量统一话术模板,疑点突出。 乐清市公安局刑事侦查大队立即联合城东派出所、网络安全保卫大队开展多警种协同研判与排查取证。经缜密侦查,确认该处为非法荐股犯罪窝点。 7月6日,警方调集50余名警力开展集中收网行动,当场抓获嫌疑人15名,查获作案手机30部、电话卡45张以及话术单据、涉案电脑等一批作案工具,彻底斩断该条黑灰产犯罪链条。 经查,2026年3月以来,犯罪嫌疑人叶某、张某在未取得证券投资咨询资质、无证券从业资格的情况下,组建非法荐股团伙。该团伙通过网络招聘、老乡…
#网友投稿:当代人的一种苦:拼尽全力,却依然被生活推着走 这一代人的苦,不是不努力,而是努力之后,依然很难改变自己的处境。谁没有梦想?曾经的我们,也想拥有更好的生活,也想靠自己的努力改变命运,也曾相信只要努力,就能换来未来。 每天早出晚归,用时间换工资,用身体换收入,可面对不断上涨的生活成本,很多人的努力最后只是勉强维持生活。资本的压力像一座无形的大山,企业追求更高的利润,员工却承担着越来越大的压力,加不完的班、降不下来的房租、越来越高的消费,让很多普通人感觉自己永远在追赶,却始终追不上。 把最好的几年交给工作,却发现收入增长赶不上现实变化。为了生存放弃梦想,为了一份工资忍受委屈,在日复一日的疲惫中慢慢失去了对未来的期待。 选择背井离乡,来到东南亚,幻想这里有新的机会,可以重新开始,可以改变人生。然而后来才发现,换了一片土地,并不一定能改变命运。在陌生的国家里,依然有人每天拼命工作,依然承受压力,依然为了生活苦苦坚持。 …
#狗推日记:东南亚一个神奇的地方,一个让人迷恋的地方,一个让人沉沦的地方 和很多人一样,在国内试过几千块钱都借不到的日子,19年抱着闯一闯的心态来到东南亚,第一次接触灰产,三个月做了三百万业绩,连奖金一起差不多三万美金,当时说实在的第一次拿这么多钱,心里不激动那是假的,第一次接触包厢文化,第一次会所,第一次摸摸唱。 有一次去玩了回来还没下头就进赌场玩玩,当时是带了1000美金,说输输完就走,结果可想而知,提成基本都拿出来快输完了,不过好在最后打回来了,马上把钱都打给家里,然后就想回去了,但是只要接触到了这行业,哪有这么容易回头,怎么甘心? 几年的拼搏,做过组长,带过团队,钱确实也赚到了,偶然间染上了网赌,说白了这个东西你就是知道他杀猪,但是心里总是有那么一点侥幸,每一次的洗白,每一次的悔恨,一开始让你赢一些,钓鱼嘛,刚沾上的时候第一月输差不多二十万美金,那时候想想也不多,三四个月能赚回来,但是随着行业越来越不景气,这两年的…
很多金融分析师害怕坐牢,其实我觉得坐牢比在园区强多了。我在这里给大家分析一下坐牢的几大优势。 1.没有赔付 吃住医疗全部免费,出狱不会找你交一分钱。根本不用担心在园区过着饥一顿饱一顿,提成买不起红牛的,离职几万键盘磨损费的生活 2.作息规律 每日三餐、劳动、休息都有固定时间,分析师们再也不用熬夜打飞机第二天上班昏昏欲睡了 3.没有竞争压力 无需面对东南亚园区特色加班和电棍文化,在牢里再也不用每天敲15小时键盘了 4.狗推回国技能培训 有些监狱会组织电工、烹饪、种植等职业技能培训,刑满释放后可拿证上岗。分析师们再也不担心回国就业焦虑,国家免费培训 5.结识电诈精英 在押期间能接触到电诈大神,监狱全是人才,刑释后可借此资源东山再起😁 6.工资稳定 监狱里面组织大家劳动都是有工资拿的,只要你肯做,就一定能赚到钱。现在这个形势你在园区敲半年键盘可能都不如你在牢里面踩一个月缝纫机😁 PS:在理 建议这位网友回去多坐几年 🆒…
为什么很多人深知犯罪会坐牢,但是他们依然走上了东南亚这条道路。因为他们明白一点: 犯罪只会影响三代 穷会影响世世代代 你们赞同吗? 🆒🔴商务合作:渡秋川
#最新消息:老挝万象的三江悦来酒店今天被突袭,现场抓了很多人 还在附近的同胞,现在不要去华悦酒店,一堆老挝警察,和一堆面包车,正在拉人走!!特别是没护照的,办公的! 🆒🔴商务合作:渡秋川
Showing the 12 most recent of 204 posts we hold for @dnyzx188. 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 — 84,532 of 1,480,944entries 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 50 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.
@dnyzx1234 · 40,16795 posts◉柬埔寨新闻
@syxw4 · 52,26552 posts菲律宾大事件
@dnyzw188 · 51,55544 posts迪拜新闻🇦🇪
@dnyzx190 · 52,19827 posts◉迪拜新闻曝光
@syxw3 · 52,55526 posts柬埔寨大事件曝光『西港黑料』
@ukevjiv6 · 35,54626 posts亚太新闻|Yataixinwen
@baoliaofj · 41,16925 posts东南亚华人吃瓜猎奇柬埔寨
@dnyzx1213 · 29,27916 posts泰国缅甸迪拜华人曝光
@facail16888889 · 29,88616 posts缅北大事件曝光
@facaiqq686868 · 29,54816 posts东南亚求职招聘网
@YTT7891 · 35,28116 posts内涵吃瓜-吃瓜Top
@hdjunf · 35,84415 posts骗子曝光
@dnyzx191 · 51,03914 posts🅥菲律宾新闻
@syxw2 · 52,69112 posts《👓泰国新闻》|泰国爆料
@xjp720 · 30,44712 posts东南亚华人曝光
@xw_339 · 28,81812 posts东南亚新闻网
@xinwenzix · 59,92211 posts大事件新闻爆料
@dnyxw192 · 31,90710 posts素材|sucai
@sucaiba8 · 25,40710 posts🅥菲律宾曝光
@syxw1 · 51,59510 posts柬埔寨头条·新闻媒体曝光
@zzyy_6699 · 33,46710 posts东南亚-缅甸新闻「今日头条」
@dnyxw193 · 29,7989 posts缅甸缅北东南亚新闻曝光
@facai16161616 · 29,6579 posts东南亚国外新闻
@zdny66 · 99,0479 posts
Names
Channels on the register whose handles appear in this channel's posts.
@anweitt · 30,0427 posts亚太新闻|Yataixinwen
@baoliaofj · 41,1697 posts网红 ❤️主播 ❤️剧情 精选
@cosfeng3 · 20,0707 posts西港日记📔柬埔寨新闻中心
@dnypgg · 59,9327 posts东南亚大事件曝光
@dnyxw191 · 30,5767 posts大事件新闻爆料
@dnyxw192 · 31,9077 posts东南亚-缅甸新闻「今日头条」
@dnyxw193 · 29,7987 posts菲律宾大事件
@dnyzw188 · 51,5557 posts东南亚华人吃瓜猎奇柬埔寨
@dnyzx1213 · 29,2797 posts迪拜新闻🇦🇪
@dnyzx190 · 52,1987 posts缅甸缅北东南亚新闻曝光
@facai16161616 · 29,6577 posts求职甩人招聘|菲龍网
@flwph33 · 70,3617 posts菲律宾新闻曝光
@flwph99 · 108,2217 posts内涵吃瓜-吃瓜Top
@hdjunf · 35,8447 posts泰国-马来西亚-新闻曝光
@hongyunlin1 · 29,6817 posts内涵段子
@neihanduanziq · 37,7897 posts🍉吃瓜搞笑猎奇新闻
@qiqubaikeh · 56,7477 postsⓂ️麻豆国产乱伦
@SGP55 · 86,3077 posts🅥菲律宾曝光
@syxw1 · 51,5957 posts🅥菲律宾新闻
@syxw2 · 52,6917 posts◉迪拜新闻曝光
@syxw3 · 52,5557 posts◉东南亚中文新闻
@syxw5 · 49,6667 posts东南亚前线大事件曝光-头条新闻
@wx_533 · 27,0827 posts柬埔寨新闻《柬埔寨曝光》
@xinwenbg3 · 31,5237 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.
“东南亚新闻吃瓜” (@dnyzx188), 33,198 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/dnyzx188.
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.