#群友爆料:马尼拉张琦,心机婊,当初在敲键盘的时候,我是她的主管,我看她长得清纯,有点姿色,就开始接近她,后面发展成为男女关系。 她也就没有上班,搬过来和我一起住,平时会帮我洗洗衣服,主要是说保姆洗不干净。在一起两年多,我转给她的钱超过30万u,当然刚开始的几万u,是我主动给她的。 后面感觉越来越不对,总是找各种理由要钱,说家里有各种经济压力,各个地方需要花钱,什么老家盖房子,弟弟要结婚,要买车,我想她跟我在一块,我也要对她负责,说实话,我是把她当做自己的女人来看的。这几年公司业绩也不好,赚的钱,家里开销一些,自己花点,别的都给她了。 后面柬埔寨不能做了,公司搬到马尼拉,因为都是打野,不好管理,我就经常去员工宿舍走动,白天基本没在住处。最后有一次,跟我说她想买个房子,一百万左右,让我给她15万u,不然说她回国,没有一个住处,没有安全感。我跟她说,最近手上不宽裕,这事记心里了,以后一定帮她安排,她估计是不相信。 后面有几次…

Channel
东南亚大事件曝光|菲律宾新闻
@phbignews
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13,911subscribers
+13,415 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 | -1002412792101 |
|---|---|
| Type | Channel |
| Username | @phbignews |
| Description | #菲律宾 #求职 #招聘 #找工作 #BC #博彩 #黑公司 #黑大楼 #黑园区 #新闻 #曝光 #突发事件 大事件频道专注于海外华人最新动态资讯推送,生活故事分享,海外华人求助,让你看尽海外华人大小事。 投稿爆料: @hugebignews |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/phbignews |
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 22 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 09:14 | 13,911 | -795 |
| 8 Nov 2026, 23:20 | 14,706 | -942 |
| 7 Nov 2026, 18:00 | 15,648 | -476 |
| 6 Nov 2026, 15:37 | 16,124 | -234 |
| 5 Nov 2026, 17:27 | 16,358 | -246 |
| 4 Nov 2026, 14:08 | 16,604 | -359 |
| 3 Nov 2026, 15:16 | 16,963 | -2 |
| 2 Nov 2026, 17:56 | 16,965 | -41 |
| 1 Nov 2026, 19:31 | 17,006 | -306 |
| 31 Oct 2026, 17:16 | 17,312 | -348 |
| 30 Oct 2026, 17:19 | 17,660 | -336 |
| 29 Oct 2026, 20:31 | 17,996 | -301 |
| 28 Oct 2026, 21:59 | 18,297 | -369 |
| 27 Oct 2026, 20:47 | 18,666 | -227 |
| 26 Oct 2026, 19:21 | 18,893 | -460 |
| 25 Oct 2026, 21:29 | 19,353 | -359 |
| 24 Oct 2026, 19:21 | 19,712 | -320 |
| 23 Oct 2026, 18:39 | 20,032 | -255 |
| 22 Oct 2026, 21:17 | 20,287 | -109 |
| 20 Oct 2026, 10:09 | 20,396 | first reading |
Engagement
26 posts held, back to 6 June 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 20 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.223%
- avg views ÷ 13,911 subscribers
- Avg views / post
- 31.1
- 17 posts measured
- Reaction rate
- 1.18%
- reactions ÷ views · ER floor
- Posts in window
- 17
- of 26 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 1 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 November 2026 |
|---|---|
| Posts held | 26 (6 June 2026 – 9 November 2026) |
| Views total | 528 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 07:45 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
- ≈6,340
- Videos
- ≈97
- Links
- ≈56
Lifetime counters from Telegram’s own channel header, read 12 November 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 100.0% |
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 1 of the 26 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 6 June 2026 to 9 November 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
Telegram’s own ‘edited’ marker: 0 of 17 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#小曦 #快手极品网红 快手极品网红 小曦 情趣内衣揉奶 浴室全裸掰穴 金主定制私拍合集 反差感拉满 投稿 @hugebignews
#网友投稿:柬埔寨警方已和中国公安实现数据共享,范围涵盖柬埔寨出入境记录、在柬中国人居住登记、各类实名登记信息等。 请在柬同胞们遵守当地法律法规,请勿从事任何违法犯罪活动 投稿 @hugebignews
#群友投稿:近期搬去菲律宾的盘口要注意了,菲律宾将近年底了,NBI开始出来捞钱了,近期趴赛和Makati很多公寓大楼都会被盘查~~前天晚上趴赛那边就有一个团队被NBI深夜给抓走了。 NBI抓人基本上都是直接去你房间的,因为现在很多团队都是公寓打野,很多都是那种10来个人,7/8个人这种团队要当心了,NBI最喜欢拿这种团队开刀~~ 还要注意被大楼里面的一些保姆举报~~因为很多团队出门都是成群结队的,那些保姆也不傻,都知道你们是做什么的,基本上一举报一个准!! 其次就是很多团队晚上在公寓里面喝酒,喝完酒那尿性:动不动就说菲律宾是他说了算,晚上2/3点宿舍炒的像在开演唱会一样~~这种一但被举报想跑都跑不了。 建议兄弟们出门别成群结队~~平时多和楼下保安通通气~~要是真深夜来抓人起码保安还能提前通知你跑路!! 投稿 @hugebignews
🇵🇭菲律宾帕赛市发生公寓捆绑抢劫案!两名中国籍男子涉嫌作案,一人被捕、一人在逃 11月3日,菲律宾马尼拉大都会帕赛市发生一起公寓抢劫案件。两名菲律宾女子在马尼拉马拉特区一家夜店结识中国籍男子后,受邀前往公寓,没想到进入房间后遭人堵嘴、捆绑,并被抢走手机及现金,财物损失约4.3万菲律宾披索。 据警方调查,11月3日凌晨5时左右,两名年龄分别为31岁和36岁的菲律宾女子,在马尼拉市马拉特区(Malate)一家名为ZZYZX Club的夜店结识几名中国籍男子。随后,其中一名使用化名「Xian」的男子邀请两人前往帕赛市Coast Residences公寓。 两名女子进入公寓后,突然遭到嫌疑人控制。对方使用布料堵住她们的嘴,并将双手捆绑,限制其行动,随后抢走两部iPhone 12 Pro Max手机及3,000披索现金。其中,两部手机估值约4万披索。 数小时后,嫌疑人离开公寓,两名女子趁机挣脱束缚并逃离现场,于当天下午5时左右向帕…
#付费悬赏:刘兆华,外号祥子、华仔,山东籍,曾在公司任职。离职后私下添加公司会员,给公司造成影响和损失。 事情发生后,他不仅没有低调处理,反而威胁当初带他出来的老乡,声称自己出事,对方也别想好过,还拿在公司任职期间掌握的同事信息进行威胁,试图以此与公司谈判。 实施威胁的当天晚上,他还前往KTV庆祝,并对同事表示,只要公司不再找他,他就不会举报其他同事,态度十分嚣张。 带他出来的人与他既是老乡,也是同村人,前后带了他4年。刚来时他什么都不懂,对方一直手把手教他。平时他一口一个师傅,还经常说“老大不走,我不走”,没想到出事后的第一反应,却是威胁和拖老乡下水。 平时大家喝酒吃饭也经常叫上他,他还故意向同事强调老大对自己有多好,营造自己与公司关系很深的形象,并以此向多名同事借钱,但相关欠款至今没有归还。 此外,他还专门盗取公司资源寻找他人合作。无论平台盈亏,都会私下与会员分钱,再带走会员寻找下一家平台继续合作,反复进行类似操作。 …
#网友爆料 假招工抢劫,嫌犯躲海豚酒店 一个中国男的专门拿招工当幌子,把女孩单独骗进房间,然后直接动手抢劫。 最新一起就发生在海豚酒店。好在那家公司有规定,上门不准带贵重物品,所以这次损失不大。 这货现在躲在海豚酒店里,警方已经在通缉他了。 在西港的姐妹们自己多长个心眼,别轻易信什么招工上门,单独进房那种,太他妈危险。 投稿 @hugebignews
2026年9月18日,凌晨5点40多的时候, 我从9085 新普京的平台 提款到账, 到NO钱包的USDT地址里面。 然后我通过 NO钱包的USDT充值 200U到 9085新普京, 显示提币失败, 然后给我整个NO钱包 全部冻结了。 NO钱包 USDT进来的钱,是需要等待 10分钟后才可以转出的, 我也是等了 10分钟,才进行转账的 我钱进来是 9085新普京,要充值进去 也是9085新普京,现在我的NO钱包被冻结了, 9085新普京不作为, 我好歹你也是 9085新普京 一个 V10的玩家,说什么让我联系钱包的客服。 NO钱包的客服更搞笑, 说什么怀疑不是本人,需要提供手持身份证,(我说你钱包在转账的时候, 是支付密码, 邮箱,手机号码)你验证不验证邮箱,不打电话验证,就直接手持身份证? 更搞笑的是,骂他几句, 直接把我IP拉黑了,直接进不去客服了, 也不知道是不是要黑吃黑 我在NO钱包进2个月的交易记录是, NO钱…
#网友爆料 曝光一个马来人才,Tang Yi Siang 各大公司注意此人,连续坑我两个机票 说想来我司上班,给你买了两次机票,一次说没钱坐车去机场,一次说赶不上飞机,屎能不能吃到呢 投稿 @hugebignews
tg飞投 南宫娱乐 之前收到特邀没看见信息 今天看见了我就问他怎么送 他让我提供其他平台的充值娱乐截图 我提供了然后他就说给我送108 让我联系另一个人领取 我联系另一个人给我送了108u 5倍流水 不限制游戏 我还特意问他提现要不要充值 他说不需要充值 我就去玩了 打到200u 流水600多也够5倍了 我就下分 然后我就去找他 我问他能不能出款 他让我提供小程序里面的流水截图 我提供给他 马上就给我双删了 聊天记录也删了 真的是有点无语 200u都出不起还到处发特邀 浪费时间 投稿 @hugebignews
曝光一个台子,9999.com( 2000万买的域名 ) 16万都不退,这是第二次玩,第一次1万,全部输了,这次上了5万usdt,下分16万usdt,不是系统风控就是到账延迟。 投稿 @hugebignews
#网友爆料 公司地址:Villa Argel,Kotayk Region,Argel Village。 亚美尼亚 A8、M9 是同一家做中国盘的黑公司。公司里藏着偷渡、假身份人员,说是在政府有通天的关系,还号称中国大使馆收了他们的钱,不会动他们。用这些话骗员工,稍微有点常识的听了都会笑掉大牙。 坑员工工资去交保护费?好在这种时代还有这种公司。8部部长 BY,真名刘锴,就是之前一直被曝光 此人联合他人盗取公司资源、贪污公款、诈骗同事血汗钱!造成公司损失超1000万 U。目前,此人已逃往亚美尼亚埃里温。 投稿 @hugebignews
Showing the 12 most recent of 26 posts we hold for @phbignews. 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 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件曝光|菲律宾新闻” (@phbignews), 13,911 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/phbignews.
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.