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Channel

菲律宾吃瓜新闻日记

@FLB002

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

27,040subscribers

-6,946 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 live10 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 10 November 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 the other topics.

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 in near-verbatim form on 9 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@FLB002/13020 · this entry10 Aug 2026, 08:23 UTC@DSJ067/1720110 Aug 2026, 08:35 UTC1.0011 minutes
@FLB002/14720 · this entry2 Sept 2026, 05:28 UTC@DSJ067/189002 Sept 2026, 05:32 UTC1.004 minutes
@DSJ067/189843 Sept 2026, 06:45 UTC@FLB002/14797 · this entry3 Sept 2026, 07:39 UTC1.0053 minutes
@DSJ067/2048423 Sept 2026, 12:38 UTC@FLB002/16247 · this entry23 Sept 2026, 12:44 UTC1.005 minutes
@DSJ067/2070326 Sept 2026, 13:15 UTC@FLB002/16461 · this entry26 Sept 2026, 14:19 UTC1.0064 minutes
@FLB002/17305 · this entry12 Oct 2026, 14:52 UTC@DSJ067/2172013 Oct 2026, 10:25 UTC1.0020 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@DSJ067592 (8/8 hand-verifiable sample passed)1.0049 minutes@DSJ067 (470–122)
@JPZ05386 (8/8 hand-verifiable sample passed)1.0063 minutesthis entry (279–107)
@dubai4148 (8/8 hand-verifiable sample passed)1.0077 minutesthis entry (98–50)
@MBDSJ0122 (8/8 hand-verifiable sample passed)0.9858 minutesthis entry (65–57)
@MLXY03101 (8/8 hand-verifiable sample passed)0.9922 hoursthis entry (99–2)
@SLLK0795 (8/8 hand-verifiable sample passed)0.9767 minutesthis entry (74–21)
@laowo0571 (8/8 hand-verifiable sample passed)0.9958 minutesthis entry (38–33)
@ChinaDSJ35 (6/8 hand-verifiable sample passed)0.952.8 hoursthis entry (23–12)
@taiguo777732 (8/8 hand-verifiable sample passed)0.9914 hoursthis entry (26–6)

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. 758 of the 758 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 1,698 comparable posts for this entry, running 7 August 2026 to 11 November 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).

Of the group of 5 channels, the one whose matching posts we hold earliest is @laowo05. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 12 November 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.

Channels linked by matching posts

This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

27,04033,98630,5137 August 202610 November 2026
62 measurements spanning 95 days, net -6,946. 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 25,998–35,028 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
10 Nov 2026, 08:1727,040-116
8 Nov 2026, 17:2127,156-93
7 Nov 2026, 08:5427,249-58
6 Nov 2026, 07:5027,307-52
5 Nov 2026, 04:4827,359-45
4 Nov 2026, 04:3027,404-138
3 Nov 2026, 02:3927,542-100
2 Nov 2026, 03:0127,642-66
1 Nov 2026, 03:1527,708-72
31 Oct 2026, 00:4427,780-61
30 Oct 2026, 00:2727,841-76
28 Oct 2026, 20:5927,917-49
27 Oct 2026, 17:1827,966-52
26 Oct 2026, 16:1528,018-59
25 Oct 2026, 13:4728,077-35
24 Oct 2026, 12:5628,112-55
23 Oct 2026, 12:2628,167-60
22 Oct 2026, 15:2828,227-58
21 Oct 2026, 11:0628,285-51
20 Oct 2026, 08:4128,336first reading

Engagement

1,703 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 163 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.49%
avg views ÷ 27,040 subscribers
Avg views / post
2,290
517 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
517
of 1,703 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 517 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 11 November 2026
Posts held1,703 (7 August 2026 – 11 November 2026)
Views total1,186,274
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 02:55 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
≈14,600
Videos
≈2,960
Links
≈9,730

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.

Video runtime
6h 19m
Average length
1m 23s

Measured directly from 273 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

108 reactions across 108 posts, in 6 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉2725.0%
🤩2220.4%
👏1715.7%
🥰1614.8%
👍1513.9%
🔥1110.2%

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 109 of the 1,000 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 108 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 22 September 2026 to 11 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 517 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).

11 Nov 2026, 16:00 UTC≈3,060 viewsread 12 November 2026
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#菲律宾资讯:机场逮捕一名中国籍男子!涉嫌冒用菲律宾公民身份、非法获取护照,还被牵涉双尸枪击案调查 菲律宾移民局(BI)近日在马尼拉尼诺伊·阿基诺国际机场(NAIA)1号航站楼逮捕一名36岁中国籍男子,怀疑其通过非法手段取得菲律宾出生证明,冒用菲律宾公民身份,并利用相关资料申领菲律宾护照。 据菲律宾移民局通报,行动于11月8日上午展开。嫌疑人姚树成(Yao Shucheng)当天搭乘菲律宾航空PR596航班,从越南河内抵达马尼拉,移民局情报人员在其入境后将其拘捕。 调查显示,嫌疑人涉嫌利用非法取得的出生登记文件,将自己伪装成菲律宾公民,并以另一个菲律宾身份姓名King Agbulos申领护照。移民局认为,此类行为涉及身份欺诈及非法获取政府签发的旅行证件。 值得注意的是,菲律宾移民局还透露,相关情报资料将该男子与2024年发生在帕拉尼亚克市(Parañaque City)的一起枪击事件联系起来。该事件造成两名中国籍人员死亡,…

11 Nov 2026, 16:00 UTC≈3,060 viewsread 12 November 2026
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#网友投稿:如今的西港,大部分地方早已变得冷清,街道昏暗,曾经热闹的区域也渐渐失去了往日的灯火。 放眼望去,许多地方都是黑漆漆的一片,唯独越南街,依旧灯火通明。一座城市的变化,有时候不需要太多言语,只要夜幕降临,走上街头,便能感受到时代变迁留下的痕迹。 西港还是那个西港,只是亮着灯的地方,越来越少了。 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

11 Nov 2026, 15:59 UTC≈4,010 viewsread 12 November 2026
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#网友投稿:有时候我会想,自己是从什么时候开始对键盘产生这种奇妙的依赖感的。 刚进公司的时候,对键盘其实是陌生的,敲字只是工作的一部分,是完成任务的工具。 可这几年下来,我在一段段和客户的对话中,一次次敲击键盘,慢慢地开始感受到那种节奏与表达带来的微妙变化。 每一个字从指尖落下,都像是有温度的、有情绪的,不再只是冷冰冰的符号,而是承载着沟通、理解,甚至一点点情感的延伸。 渐渐地,我发现自己开始享受这种感觉,甚至不再满足于普通的办公键盘,会去在意手感、声音、反馈。当我坐在工位上,没有客户聊天的时候,手指竟会不自觉地发痒,仿佛在等待下一次敲击的开始。 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

11 Nov 2026, 15:59 UTC≈3,060 viewsread 12 November 2026
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#菲律宾资讯:全国约30万名通缉人员仍在逃!警方10月逮捕8839人,大马尼拉地区居首 11月11日报道,菲律宾国家警察(PNP)表示,目前全国仍有约30万名持有逮捕令的通缉人员在逃,警方正持续加强情报收集、联合执法及专项追捕行动,目标是逐步清理积压案件,减少在逃人员数量。 根据菲律宾警方公布的最新数据,2026年10月,全国警方共逮捕8839名通缉人员,其中包括2353名重点通缉对象,其余6486人属于其他通缉人员。 在各地区的执法成果中,首都大马尼拉地区(Metro Manila)表现最为突出,10月份共逮捕1641名通缉人员,位居全国第一。 警方指出,目前全国仍有约30万名持有逮捕令的人员尚未落网。接下来,警方将继续通过情报部署、跨地区协调及针对性追捕行动,加强对在逃人员的搜捕力度。 菲律宾国家警察表示,清理全国通缉人员积压案件、推动在逃人员归案,将是警方后续执法工作的重点之一。 此次行动反映出菲律宾警方正在持续…

11 Nov 2026, 09:24 UTC≈2,880 viewsread 12 November 2026
Video

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10 Nov 2026, 14:42 UTC25 viewsread 12 November 2026
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#老挝资讯:万象捣一网络犯罪窝点,抓获1名韩国籍嫌疑人! 老媒媒体11月10日报道:上周,老挝公安部专项工作组在万象市赛色塔县亮桑村一处出租屋,抓获1名韩国籍男子。 行动现场查获手机41部、笔记本电脑5台、iPad 8台等作案工具。 目前,案件正在进一步侦办中。 电信文脉在万象止步于此… 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

10 Nov 2026, 14:16 UTC18 viewsread 12 November 2026
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#菲律宾资讯:副总统莎拉·杜特尔特弹劾案进入关键阶段,涉8.17亿比索无法解释财富 11月10日报道,菲律宾副总统莎拉·杜特尔特(Sara Duterte)弹劾案迎来最新进展。菲律宾众议院检察团队目前将弹劾指控重点集中在其涉嫌拥有无法解释的财富问题,涉及金额估计约 8.17亿菲律宾比索(约1297万美元),案件已进入辩方举证阶段。 根据检方提交的财务分析资料,相关金额涉及2022年至2025年期间的资产及财务记录。检方通过银行交易、税务文件、公司申报资料,以及资产、负债和净资产申报表(SALN)进行分析,认为其中存在需要进一步解释的财务差异。 此前,众议院检察团队已将原有四项弹劾指控中的三项撤回,目前重点追究涉嫌财富来源不明及财产申报不实等问题。 在最新审理过程中,莎拉·杜特尔特的律师团队已开始提交辩护证据,并传召达沃市评估部门相关人员出庭作证,试图通过房产登记及土地资料解释部分资产申报差异。检方则对相关证词及资料提出质…

10 Nov 2026, 13:55 UTC17 viewsread 12 November 2026
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#老挝资讯:警方打掉万象网络犯罪窝点,抓获13名孟加拉籍嫌疑人! 老挝媒体报道:11月7日晚,老挝公安部专项工作组突袭万象市赛色塔县洪素帕村一处出租屋,成功打掉一处网络犯罪窝点,当场抓获13名孟加拉籍嫌疑人(含1名女性)。 行动现场查获手机21部、台式电脑12台等作案工具。 目前,案件正在进一步侦办深挖中。 PS:中国推推全军覆没 最近抓的都是老外 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

10 Nov 2026, 13:55 UTC14 viewsread 12 November 2026
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#泰国资讯:孔敬金店遭警方突击检查!保险柜内查获13支枪,45岁中国籍店主被捕 11月9日,泰国孔敬府警方持法院搜查令,对当地一家金店展开突击检查,并在店内保险柜中查获长枪、短枪共13支,以及相关枪支证件、买卖合同和典当文件。一名45岁中国籍店主被警方当场逮捕。 据警方初步调查,该名中国籍男子涉嫌利用金店作为掩护,私下从客户手中收购枪支、接受枪支典当,并向客户提供放贷服务,月利息高达5%。 调查人员指出,涉案金店除正常经营外,还涉嫌在未取得相关许可的情况下从事典当业务。警方随后依法扣押现场查获的枪支及相关文件,并将嫌疑人带回警局接受调查。 目前,该名中国籍男子面临非法持有枪支及未经许可经营典当业务两项指控,案件已移交相关部门进一步调查处理。 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…

10 Nov 2026, 13:12 UTC≈2,880 viewsread 12 November 2026
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马达加斯加与美国签署司法合作协议,联手打击跨国网络诈骗,13处诈骗中心已被捣毁 据11月9日马达加斯加媒体报道,马达加斯加司法部长Fanirisoa Ernaivo于11月5日在华盛顿会见美国哥伦比亚特区联邦检察官Jeanine Ferris Pirro。双方重点讨论了跨国网络诈骗案件的调查与司法协作。 美国方面表示,在马达加斯加当局与美国联邦调查局(FBI)的合作下,当地已有 13处网络诈骗中心被捣毁。此前的联合执法行动还查获超过3200件电子设备。 Jeanine Ferris Pirro肯定马达加斯加在打击网络诈骗方面采取的刑事追责措施,并鼓励该国继续加强执法力度,为非洲其他国家提供合作经验。 此次签署的合作备忘录涉及司法经验交流、信息共享及跨国犯罪打击等领域。双方还讨论了涉案人员移交美国接受司法处理的问题。 马达加斯加与美国表示,将继续深化司法合作,共同追查跨国犯罪网络及其资金流向,进一步打击网络诈骗犯罪。 …

10 Nov 2026, 12:47 UTC≈4,920 viewsread 12 November 2026
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#小姐姐投稿:在东南亚待久了,真的不敢再轻易相信爱情了。 说实话,在东南亚待了这么久,感情上真的越来越疲惫了。见过太多嘴上说爱你、转身却把你丢下的男人,也听过太多好听的承诺。 刚认识的时候,甜言蜜语说得比谁都好听,恨不得把全世界都给你。可真到了需要他承担责任、解决问题的时候,态度就完全变了。 以前觉得两个人在一起,最重要的是感情。现在才发现,有些男人只想享受你带来的温柔,却不愿意承担一丁点责任。 尤其是在东南亚这个环境里,认识一个人好像很容易,真正遇到一个靠谱的人却很难。 有人今天对你嘘寒问暖,明天就能跟别人暧昧;有人口口声声说会照顾你,可一旦遇到现实问题,第一反应不是怎么解决,而是先算算自己会不会吃亏。 感情里最让人心寒的,不是没钱,也不是日子过得苦,而是你以为自己找到了依靠,最后才发现,对方只是在权衡利弊。 其实,女孩子在外面打拼,真的没有想象中那么容易。白天要面对工作和生活的压力,晚上一个人回到房间,有时候连个…

10 Nov 2026, 12:26 UTC≈4,910 viewsread 11 November 2026
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#币安重要通知:与特定加密货币平台进行交易的相关事项 这是一般性公告,此处提及的产品和服务可能不适用于您所在的地区。鉴于美国金融犯罪执法局(FinCEN)近期将MEXC列为“重大洗钱关注对象”(Primary Money Laundering Concern),币安将无法继续处理涉及上述认定所涵盖的加密资产服务提供商及平台的交易,具体包括以下实体: MEXC Global Limited MEXC Estonia OÜ GIDA Technology AG MXC Global Ltd MEXC Global Foundation Ltd MEXC Singapore Pte Ltd MEXC (Comoros) Ltd MEXC MEXC Global MEX Global Ltd MX Global LTD MEX Exchange(曾用名) MEXC 其他关联方或关联实体 因此,请勿通过币安直接或间接向上述实体转账、…

Showing the 12 most recent of 1,703 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“菲律宾吃瓜新闻日记” (@FLB002), 27,040 subscribers as measured 10 November 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.