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Channel

菲律宾吃瓜新闻日记

@FLB002

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

29,627subscribers

-4,359 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-1001631170966
TypeChannel
Username@FLB002
Description信息时代,速度与准确同等重要,菲律宾/马尼拉/帕赛/马卡蒂/曝光,带你看不一样的菲律宾🇵🇭,确保观众以更轻松的方式获取真实、有价值的信息,提升阅读体验,避免内容冗长阅读疲劳。 📮投稿爆料合作联系 @KL066 #东南亚 #菲律宾 #柬埔寨 #缅甸 #缅北 #迪拜 #泰国
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/FLB002

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 60% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@DSJ067/169907 Aug 2026, 13:12 UTC@FLB002/12786 · this entry7 Aug 2026, 13:12 UTC1.00under a minute
@DSJ067/169917 Aug 2026, 13:25 UTC@FLB002/12787 · this entry7 Aug 2026, 13:33 UTC1.008 minutes
@DSJ067/169967 Aug 2026, 14:07 UTC@FLB002/12790 · this entry7 Aug 2026, 14:43 UTC1.0037 minutes
@DSJ067/169927 Aug 2026, 13:40 UTC@FLB002/12794 · this entry7 Aug 2026, 14:44 UTC1.0063 minutes
@DSJ067/170037 Aug 2026, 14:39 UTC@FLB002/12799 · this entry7 Aug 2026, 14:50 UTC0.8611 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DSJ0675 (5/5 hand-verifiable sample passed)0.9711 minutes@DSJ067 (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 11 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 4, the earliest publisher we hold is @DSJ067. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

29,62733,98631,806.57 August 2026 — 33,986 subscribers8 August 2026 — 33,933 subscribers9 August 2026 — 33,705 subscribers10 August 2026 — 33,524 subscribers11 August 2026 — 33,409 subscribers12 August 2026 — 33,342 subscribers13 August 2026 — 33,029 subscribers14 August 2026 — 32,907 subscribers16 August 2026 — 32,819 subscribers17 August 2026 — 32,535 subscribers18 August 2026 — 32,343 subscribers19 August 2026 — 32,177 subscribers20 August 2026 — 32,136 subscribers21 August 2026 — 32,086 subscribers23 August 2026 — 31,995 subscribers24 August 2026 — 31,856 subscribers25 August 2026 — 31,724 subscribers27 August 2026 — 31,673 subscribers28 August 2026 — 31,648 subscribers28 August 2026 — 31,615 subscribers29 August 2026 — 31,574 subscribers31 August 2026 — 31,528 subscribers1 September 2026 — 31,181 subscribers1 September 2026 — 31,051 subscribers3 September 2026 — 30,907 subscribers5 September 2026 — 30,806 subscribers8 September 2026 — 30,552 subscribers11 September 2026 — 30,140 subscribers13 September 2026 — 30,002 subscribers14 September 2026 — 29,961 subscribers16 September 2026 — 29,906 subscribers18 September 2026 — 29,850 subscribers25 September 2026 — 29,627 subscribers7 August 202625 September 2026
33 measurements spanning 49 days, net -4,359. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 28,973–34,640 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
25 Sept 2026, 08:5929,627-223
18 Sept 2026, 23:2229,850-56
16 Sept 2026, 16:5729,906-55
14 Sept 2026, 20:0029,961-41
13 Sept 2026, 06:5830,002-138
11 Sept 2026, 12:1630,140-412
8 Sept 2026, 17:5930,552-254
5 Sept 2026, 08:2130,806-101
3 Sept 2026, 09:2930,907-144
1 Sept 2026, 23:4631,051-130
1 Sept 2026, 02:0531,181-347
31 Aug 2026, 00:2731,528-46
29 Aug 2026, 22:0331,574-41
28 Aug 2026, 23:0431,615-33
28 Aug 2026, 00:3431,648-25
27 Aug 2026, 00:5831,673-51
25 Aug 2026, 21:2431,724-132
24 Aug 2026, 19:2331,856-139
23 Aug 2026, 02:0831,995-91
21 Aug 2026, 17:0532,086first reading

Engagement

811 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 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.14%
avg views ÷ 29,627 subscribers
Avg views / post
338
372 posts measured
Reaction rate
0.131%
reactions ÷ views · ER floor
Posts in window
372
of 811 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 79 of 372 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 September 2026
Posts held811 (7 August 2026 – 27 September 2026)
Views total125,598
Reactions total79
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 18:10 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
≈12,500
Videos
≈2,430
Links
≈8,130

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
2h 21m
Average length
41s

Measured directly from 205 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

144 reactions across 138 posts, in 9 distinct kinds. The most used accounts for 45.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6645.8%
🤩1611.1%
🥰1611.1%
🎉1510.4%
👏117.64%
👍96.25%
🔥85.56%
💯21.39%
👌10.694%

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 139 of the 811 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 144 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 811 most recent posts we hold, published 7 August 2026 to 27 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

27 Sept 2026, 14:56 UTC≈3,380 views1 reactionsread 27 September 2026
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#国内资讯:微信严查头像昵称:今年已处置9万多个账号,严重违规直接封号 9月24日,“微信珊瑚安全”公布账号资料专项治理情况。今年以来,微信已处置相关违规账号92079个,其中2463个账号被关闭。 这次重点整治冒充官方、伪装身份和违规引流等问题。有人用“服务中心”等名称冒充官方机构,有人把账号包装成新闻媒体,还有人在没有认证的情况下使用财经、医疗、司法、教育等专业身份。 微信已对相关账号采取清空资料、禁言、封号等措施。近期部分冒充“村干部”直播带货的账号,已被永久封禁。头像、昵称和简介如果存在冒充官方、身份伪装,或夹带色情、赌博等违规引流内容,严重的可直接封号。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

🎉1

27 Sept 2026, 14:25 UTC≈3,910 viewsread 27 September 2026
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#网友投稿:老挝特内的壹号公馆二期现在检查,现场已经通知跑出来了很多人了 目前只有治安局,没听到有老挝警察过来,还在办公的赶紧跑吧 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

27 Sept 2026, 14:23 UTC≈3,630 views1 reactionsread 27 September 2026
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#网友吐槽:缅东妙瓦底一号码头里面17号码头“银河园区”四楼香烟办公室,公司主管“大江”、代理“表哥”,封闭式公司就算了还压工资三万泰铢,员工外出管控严格,劝大家别来! 我们当牛做马加班就算了,中秋节你们连月饼都不给吃一块实在太抠了,省小钱,耗大事,一点格局没有,抠B老板,饭菜也是和猪食一样,他们倒是好天天吃好伙食。 代理表哥的小三叫“思婷”是腊戌12号人,天天收拾打扮等着干B,包括被包养的小三妹妹叫“满满”和她男朋友也是两个大奇葩,不分场合,之前有一次上班时间两个人跑到楼梯间就直接干起。 公司里上班的都是关系户,靠干B上班的公司,自从大江一接手管理,公司就变成这种b样子,霉b,迟早倒闭。 上班的全部是小三的亲戚关系户,不看能力看关系的公司,快倒了,希望缅军赶紧来把这个傻逼公司端了! 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N…

🤩1

27 Sept 2026, 14:01 UTC≈3,880 viewsread 27 September 2026
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#群友回复:哥,认真看完你说的这些,心里挺不是滋味的。 过去很多事,我一直都记着。当年你愿意拉我一把,给我做事的机会,这份恩情我从来没忘,也一直心怀感激。 只是很多事情,并不是你单方面描述的那样,中间有不少沟通上的误会,还有账目、业务交接上的分歧。一两句话很难把全部事实讲清楚。关于公司股权变更、业务交接这些,并不是我私下擅自去操作。 咱们认识这么久,一路合作过来,我也不想走到互相争执的地步。不属于我的东西,我不会去争。毕竟我为公司这些年也付出了很多,并不是空手套白狼得来。 大家都是成年人,有经济上的分歧,可以好好协商,并不是我欠你什么。你的恩情,我永远记在心里。有什么困难,我也会尽量帮助你,但我也只能在自己能力范围之内,毕竟现在公司不是我一个人在管理。 我还是很珍惜咱们之前的情分,不想把事情闹得很难看。希望我们都冷静一点,好好沟通,妥善把这件事解决掉。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉…

27 Sept 2026, 13:27 UTC≈4,120 viewsread 27 September 2026
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#巴基斯坦资讯:“拉合尔非法呼叫中心被查,21人被捕, NCCIA Lahore与Faisalabad在拉合尔DHA Phase 6突袭一处涉嫌非法呼叫中心。 抓获21名嫌疑人,查扣29部手机和10台电脑。初查显示,该团伙涉嫌利用虚假社交账号、SIM卡及VPN开展线上任务/投资诈骗。目前嫌疑人国籍、涉案金额及受害者情况尚未披露,案件仍在调查中。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

27 Sept 2026, 13:23 UTC7 viewsread 27 September 2026
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汇旺涉嫌洗钱240亿美元,主要服务电诈产业 据香港明报、香港01联合报道,汇旺集团近日陷入洗钱风波,其董事长李雄被押解回中国后,调查显示,过去四年汇旺涉嫌通过旗下平台洗钱高达 240亿美元,且主要服务对象为电信诈骗及网络犯罪团伙。 据总部位于英国伦敦的区块链分析公司 Elliptic 统计,自2021年以来,汇旺担保及旗下商家使用的加密货币钱包,已接收超过 240亿美元资金,其中大部分资金流向电诈产业。据明报援引 Elliptic 的研究,汇旺集团在去年春天之前共促成近 270亿美元交易,虽部分交易可能合法,但大规模资金流显示其存在洗钱风险。 消息还指出,汇旺旗下 汇旺担保 和 好旺担保,被认为是集团洗钱的核心工具,而其支付平台 汇旺支付(Huione Pay) 和所谓平民化银行 胖大银行(Panda Bank) 表面上服务普通用户,实际上被用于暗网交易和“杀猪盘”诈骗收益洗白,成为全球最大的暗网交易平台之一。 香港01报…

27 Sept 2026, 12:52 UTC≈4,780 viewsread 27 September 2026
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#马来西亚资讯:森林城市诈骗窝点被端后,住宅内再现大批疑似诈骗设备 9月27日,据新加坡亚洲新闻台(CNA)报道,马来西亚柔佛州森林城市近期再次发现疑似诈骗活动迹象。 此前,柔佛警方于7月15日展开大规模行动,突查森林城市27套公寓及5栋别墅,捣毁两个涉嫌网络诈骗的团伙,共抓获335人,其中包括309名中国籍、19名印尼籍、4名缅甸籍及3名马来西亚籍人员。 警方当时查获313台电脑、1557部手机、17台笔记本电脑以及其他设备。警方称,涉案团伙涉嫌从事虚假加密货币投资、网络“杀猪盘”等诈骗活动,受害目标主要在海外。 然而,警方大规模行动后,森林城市内仍被发现疑似诈骗设备。 据CNA报道,当地一名房东发现出租公寓的每月电费突然超过1000令吉,认为情况异常,随后安排房产中介上门检查。 中介进入房屋后发现,屋内摆放着大量技术设备,怀疑租客可能利用该住宅从事诈骗活动。随后,中介终止租约并要求租客搬离,同时将相关情况报告警方。…

27 Sept 2026, 12:40 UTC≈4,200 viewsread 27 September 2026
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#巴基斯坦资讯:伊斯兰堡NCCIA查处非法呼叫中心,9人被捕 9月27日,巴基斯坦国家网络犯罪调查局(NCCIA)伊斯兰堡分部对一处涉嫌从事网络诈骗活动的非法呼叫中心展开行动。 据巴基斯坦联合通讯社(APP)报道,此次行动依据 FIR No.156/2026 展开,案件涉及涉嫌利用电子手段实施欺诈活动。 行动中,执法人员共抓获 9名嫌疑人,其中5人为外国籍、4人为巴基斯坦籍。现场同时查扣多部电子设备及其他涉嫌与非法呼叫中心活动有关的证据。 NCCIA表示,目前已对查扣设备及相关材料展开进一步调查,以确认涉案人员的具体分工、诈骗方式以及案件涉及的规模,同时调查是否还有其他人员或相关网络牵涉其中。目前案件仍在进一步调查中。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT…

27 Sept 2026, 12:39 UTC≈3,370 viewsread 27 September 2026
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柬埔寨波贝洪水持续上涨 据现场目击者称,柬埔寨波贝市(Poipet City)近日积水不断上涨,有人拍到一名中国公民推着一辆豪车,在积水中艰难前行。 目前当地积水情况仍在持续,照这个趋势发展下去,汽车可能都快派不上用场了,船只或将成为接下来的主要出行工具。 昨天开豪车,今天推豪车,明天可能就得坐船了。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

27 Sept 2026, 11:33 UTC8 views1 reactionsread 27 September 2026
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#小姐姐吐槽:我在西港上班,然后遇见了一个客人,非常的恶心。 在我明确地拒绝了他、我和他不合适以后,他还是骚扰我,并且找他朋友给我发消息,骚扰我,而且还骚扰我朋友。他的飞机我拉黑了好几个,还换号找我。 前段时间蓝色海湾检查,他说可不可以来我家呆一会,我说可以。然后他来了直接躺我床上了,让我感觉非常的脏,然后还想扒我衣服。然后我就发疯了,我就喊,他就没有动。我就离开房间,去我朋友房间了。一个晚上我有房间不能回,在我朋友房间呆了一夜加一个上午。后来他看我不回去,他才走了。 他说他想和我谈恋爱,我说不可以,并且还要和别人说我和他谈恋爱。我很明确地拒绝了,我说不可以,是因为他非常的扣,非常的爱画饼,一分钱不想给,还想占我便宜。 中间他给我闺蜜不停地发消息,我闺蜜也是非常的烦了,就给他消息静音了。然后他骂我闺蜜白眼狼,说什么找我闺蜜上班,然后他赚钱,还给她订外卖。 他所谓的赚钱,是在公司,我闺蜜上班,他理所应当要给钱。一个套60…

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27 Sept 2026, 11:33 UTC≈6,050 viewsread 27 September 2026
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#群友投稿:斯里兰卡4月2号尼甘布153人案 我是11团队的一员,和大家一样,我们已经在这里等了整整半年。半年时间,我们一直在等开庭、等调查、等最后的结果。一路走到今天,大家都不容易。 我们很多人没有钱请专业律师,也没有足够的经济能力去解决这些问题。我们不是管理人员没有他们那么多钱走关系。可是案件到了现在这个阶段,我们不能只是继续沉默地等待。 如果最后的结果对我们不利,那我们这些普通人又该怎么办? 所以,我觉得现在我们真的应该团结起来。 一个人的力量很小,但我们这么多人如果能够团结起来,把大家的情况、诉求和实际困难整理清楚,通过合法、合理的方式向法院以及相关部门反映,至少我们不会再是一个人面对。 10月20日马上就到了,我们已经等了半年,真的耗不起了。 所以,希望4月2号案件的兄弟们都能站出来,联系起来,团结起来。无论最后面对什么结果,我们一起面对、一起想办法、一起依法争取自己的权益。 我们没有钱,但我们不能没有…

27 Sept 2026, 10:55 UTC≈7,710 views1 reactionsread 27 September 2026
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印尼26岁男子赴新加坡工作却被带到妙瓦底,家属遭索7000万盾 9月27日,印尼西努沙登加拉省警方联合移民劳工保护机构调查一起妙瓦底受困案件,26岁男子穆罕默德·亚努阿尔·菲克里疑遭拘禁并被迫从事网络诈骗。 菲克里原计划前往新加坡工作,9月5日从巴厘岛伍拉·赖国际机场出境,后辗转进入缅甸,并于9月15日经仰光机场入境。 9月22日,其家属向警方及相关机构报案,次日菲克里联系家人,要求准备7000万印尼盾用于离开当地并返回印尼 9月25日,相关部门确认他目前身处缅甸克伦邦妙瓦底一带、靠近缅泰边境。 警方目前正追查整个招募及出境过程,包括工作介绍人、非正规出境渠道以及其进入缅甸后的接应人员。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @K

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Showing the 12 most recent of 811 posts we hold for @FLB002. 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 11 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.

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.

“菲律宾吃瓜新闻日记” (@FLB002), 29,627 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/FLB002.

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.