Telegram RegisterThe public register of Telegram

Channel

🅥菲律宾曝光

@syxw1

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

51,808subscribers

-1,579 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-1002341978830
TypeChannel
Username@syxw1
Description•视野曝光台 - 《视野新闻》 “视野新闻” 是一扇洞察热点新闻窗口,致力于为在外华人带来丰富、多元且具有深度的新闻资讯。 “视野新闻” 不仅是新闻的传递者,更是思考的引领者。 都将以广阔的视野、精彩的内容和优质的服务,成为你获取信息、开拓视野的最佳伙伴。 视野发布员 - 胖胖 : @syxw01
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/syxw1

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 66% 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 3 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@syxw7/524277 Aug 2026, 07:25 UTC@syxw1/48343 · this entry7 Aug 2026, 08:35 UTC1.0071 minutes
@syxw7/524307 Aug 2026, 08:20 UTC@syxw1/48345 · this entry7 Aug 2026, 09:01 UTC1.0041 minutes
@syxw1/48346 · this entry7 Aug 2026, 09:19 UTC@syxw7/524327 Aug 2026, 10:07 UTC1.0049 minutes
@syxw1/48348 · this entry7 Aug 2026, 09:39 UTC@syxw7/524417 Aug 2026, 11:25 UTC1.001.8 hours
@syxw1/48351 · this entry7 Aug 2026, 10:36 UTC@syxw7/525147 Aug 2026, 20:25 UTC1.009.8 hours
@syxw1/48390 · this entry7 Aug 2026, 15:19 UTC@syxw7/525077 Aug 2026, 17:39 UTC1.002.3 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@syxw78 (8/8 hand-verifiable sample passed)1.0071 minutesthis entry (62)

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. 2 of the 2 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 25 comparable posts for this entry, running 7 August 2026 to 8 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 3, the earliest publisher we hold is @syxw7. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 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 2 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

51,80853,38752,597.57 August 2026 — 53,387 subscribers8 August 2026 — 53,228 subscribers9 August 2026 — 52,882 subscribers9 August 2026 — 52,558 subscribers10 August 2026 — 52,454 subscribers11 August 2026 — 52,165 subscribers12 August 2026 — 51,951 subscribers14 August 2026 — 51,808 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net -1,579. 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 51,571–53,624 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 06:3751,808-143
12 Aug 2026, 22:2851,951-214
11 Aug 2026, 20:2252,165-289
10 Aug 2026, 22:5152,454-104
9 Aug 2026, 23:3852,558-324
9 Aug 2026, 01:1352,882-346
8 Aug 2026, 00:2153,228-159
7 Aug 2026, 12:1653,387first reading

Engagement

180 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.05%
avg views ÷ 51,808 subscribers
Avg views / post
542
180 posts measured
Reaction rate
3.33%
reactions ÷ views · ER floor
Posts in window
180
of 180 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 180 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 15 August 2026
Posts held180 (7 August 202615 August 2026)
Views total97,615
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 11:53 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
37,200
Videos
6,590
Links
11,400

Lifetime counters from Telegram’s own channel header, read 15 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
16m 14s
Average length
22s

Measured directly from 45 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1100.0%

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 180 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 180 most recent posts we hold, published 7 August 2026 to 15 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

15 Aug 2026, 11:48 UTC2 viewsread 15 August 2026
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#网友爆料 中国人老板 名字 #阿涛 拖欠工资不发 在南邓 梦拉 孟波 她都有公司 在孟波开 聊感情公司的 南邓的公司 在 58 会所过去一点那个 #锦泰酒店 全部楼都是他的诈骗员工 锦泰酒店的也是他的产业 但是用的合伙人的名字 锦泰酒店楼下的火锅店也是他的产业 也是用的她的合伙人名字 阿涛 拖欠工资不发 已经三个月了 一直说明天给 都没有给 要是还不发 我们就直接举报到佤邦单位 再给你 3 天时间 不发 直接去举报 国内我们也有人到时候 直接抓回国 你的照片 不要逼我曝光出来 能定你的罪的证据老子也有 到时候 自己的坐牢不要说老子没有给你时间 🕑#广告赞助商 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢,亏损全额返还! 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥😁🙂🙂🙂🙂🙂 jinbei199.cc 🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮😆😝😝😝😜🇧🇮🇧

15 Aug 2026, 11:14 UTC10 viewsread 15 August 2026
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2026年的6月20日,通过王总进入这家名为“君悦汇”的公司,位于亚洲大厦六楼。 入职期间,公司没有发过一次工资。期间多次询问财务,给出的回答一直都是“今天、明天、大后天”;管理人员也是回复“过段时间”。 我们全部都是贴钱上班,吃喝拉撒、住宿、签证费用,全部都是自己承担。一直祈求公司可怜一下,发一点生活费,但公司一分钱都不发。从业以来,从未见过如此恶心的黑心公司。公司老板好像叫什么严总,目前由王总负责管理。 希望广大网友帮忙曝光、抵制这种黑心公司。这家公司一点人性都没有,二十个DJ全部没有拿到一分钱工资。日本人都没这么惨过,贴钱打黑工,真的是令人无法接受。 🕑#广告赞助商 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢,亏损全额返还! 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥😁🙂🙂🙂🙂🙂 jinbei199.cc 🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮😆😝😝😝😜🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮 xh8113.

15 Aug 2026, 11:00 UTC6 viewsread 15 August 2026
Video

🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥 🙂🙂🙂🙂🙂🙂🙂🙂🙂 🙂 全网广告费每月投入500万u 包出款! 🙂 东南亚上押500万u全网上押5000万U 🙂 煮酒论英雄 广告论实力 资金储备5亿U 😁【贵宾会 750.cc 】 强势启航 集团背书 信誉担保 全网首发 引爆彩票娱乐新纪元!六合彩49倍 挑战全网心水 全民代理全民收单 助您白手起家 加拿大28全网最高赔率 挑战全网公式 ✨超高爆率,大额爆奖喜讯 包出款😦 🥇尊贵VIP【da***】盈利提款 468万U 🥈尊贵VIP【qq***】盈利提款398万U 🥉尊贵VIP【aa***】盈利提款 303万U 🙂尊贵VIP【ni***】 盈利提款 277万U 🙂尊贵VIP【niubi*】盈利提款 239万U 🙂尊贵VIP【KH***】 盈利提款 199万U 🙂尊贵VIP【uu***】盈利提款 160.3万U 🙂尊贵VIP【sh***】盈利提款 105.6万U 🙂尊贵VIP【a9***】盈利提款 88

15 Aug 2026, 10:56 UTC12 viewsread 15 August 2026
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#澄清贴 曝光人為公司優化調整人員,與我方已完成相關協議及離職程序。 員工返回台灣後,因不滿公司優化安排,反覆向公司提出額外賠償要求。在公司人事部拒絕不合理要求後,進一步針對公司管理層,公開發布與事實不符的內容,並曝光管理層相關資訊,對公司及管理人員造成不良影響。 公司一貫尊重員工合法權益,所有相關安排均依照雙方已簽署的協議及公司制度執行。對於任何不實指控、惡意誹謗、惡意抹黑,以及損害公司與管理層名譽的行為,公司絕不姑息。 目前公司已就相關情況進行證據蒐集及法律評估,並將委託律師發出正式律師函。若相關行為仍未停止,公司將依法追究相關法律責任,並保留一切合法權利。 0857 人事部 🕑#广告赞助商 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢,亏损全额返还! 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥😁🙂🙂🙂🙂🙂 jinbei199.cc 🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮😆😝😝😝😜🇧🇮🇧🇮🇧🇮🇧

15 Aug 2026, 10:26 UTC4 viewsread 15 August 2026
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#网友爆料:交往😃年的女友劈腿灰产高管 我曾经以为她是我这辈子最不可缺少的灵魂伴侣,直到知道这一切时,我的全身都在发抖。 我本身在槟城一家点心店打理生意,那是我家人的产业,收入也比较稳定。女友是通过我以前一个中学同学认识的。一开始我们聊得很好,出来约会吃饭看电影几次后就确认了关系。我家人也很喜欢她,只是她的工作比较不方便透露(灰产)。家人朋友问起她的工作时,我们都会很默契地说她是五金店的会计师。这期间我也曾劝她辞职来跟我一起顾家里的生意,收入虽然比她在灰产行业低,但也算是够用够消费了。只是她一直放不下高薪的工作。这一行很杂,要和各种各样的人打交道,稍微长得好看一点又容易被高层盯上。好几次公司聚会结束后,她都被她的主管撩拨,要不是我都会开车去接,后果不敢想象。 后来真正让我开始怀疑的,是有一次公司聚餐。以前只要她公司有聚餐,只要喝了酒都会叫我去接。因为我知道她工作的环境比较复杂,尤其那个主管之前已经不止一次对她有过越界的举动

15 Aug 2026, 09:55 UTC≈1,270 viewsread 15 August 2026
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同样是 15 号发工资,差距咋这么大 😂😂。 我们也是在柬埔寨,去年的时候组里面人均工资都有个几千块美金,到了如今,7 个人有 5 个工资都是负的。 你们都干的啥这么挣钱呀????? 🕑#广告赞助商 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢,亏损全额返还! 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥😁🙂🙂🙂🙂🙂 jinbei199.cc 🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮😆😝😝😝😜🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮 xh8113.cc ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️ ✅频道互推

15 Aug 2026, 09:38 UTC6 viewsread 15 August 2026
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#网友投稿:西港兄弟们避坑,海悦酒店 23 楼 KS 体育公司是一个纯纯的黑公司,海悦就是升级版的园区。 工资从不准时发,完美集团的外包公司有 KS、实况、云霄、开云、欧贝。开除人也不结清工资,想要拿回护照还要先自己掏钱赔付。0 赔付入职,从上交护照那一刻起,就必须要赔付了才能拿回护照的了。两个月的工资也一分都不给结。 宿舍在 USD 酒吧后面,不给完赔付就不能把行李搬走,但是又不给住宿舍。后勤给出的说法是,公司是公司,部门是部门,我们属于部门,不属于公司。关于工资的问题找部门,部门不管的话,就要自己想办法赔付了才能把东西搬走。 后勤是属于公司的,说白了就是踢皮球和撇清关系。海悦酒店从 6 楼到 23 楼都是盘口,打着博彩的名义做诈骗。希望有关部门彻查海悦酒店,把这些不守规矩的蛀虫赶出柬埔寨,还柬埔寨一片净土。 🕑#广告赞助商 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀9G.COM首周100

15 Aug 2026, 09:10 UTC≈1,360 viewsread 15 August 2026
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#群友分享:律师分享干货,回流狗推家属必知! 今年不少从境外回来的涉诈人员被集中收押,很多家属拿到拘留通知书,整个人都懵了,不知道该干啥、从哪下手。越慌,越容易做错事。 第一,这类案子大多骗的是境外人,受害者信息、被骗金额,很难查彻底。 不像本地诈骗,能快速找到受害人、核实金额。境外回流案里,受害人分散在国外,资金流向也乱,很多时候没法把每一笔被骗金额都核实清楚,这也是这类案子的特殊之处。 第二,客观证据不好固定,当事人的口供、同案的指认,就特别关键。 境外取证本来就难,很多电子记录、作案痕迹容易缺失。这时候,当事人怎么说、同案犯怎么指认,直接影响案子走向。 比如:有没有进过诈骗园区、待了多久、具体干的啥活、赚了多少钱。这些细节说不清楚,很容易影响量刑。 第三,不用硬找被害人谅解,也不是非要退赃退赔。 很多家属以为,只要退钱、拿到谅解,就能轻判,其实不然。 尤其是家人只做引流、养号、打杂这些辅助工作的,根本对应

15 Aug 2026, 08:34 UTC10 viewsread 15 August 2026
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广西破获特大偷渡案 400 余人落网 8 月 13 日晚,广西崇左边境管理支队通报,警方成功破获一起境内外勾结的组织偷渡案。前后搞了 52 次集中收网,打掉 12 个犯罪团伙,抓了 400 多人。 这团伙以余某为核心,在社交平台上发“境外高薪招聘”信息,用高工资、包吃住这些诱饵吸引人。先把人集中到华南多地出租屋当中转,再安排司机和“蛇头”走边境便道偷渡,最后交给境外,直接送进电诈园区。 这次行动捣毁出租屋中转窝点 20 多个,斩断偷渡通道 5 条,扣了 80 多台涉案车辆。抓的人包括组织者、运送司机和参与偷渡的。 警方提醒,那些“境外高薪工作”很可能暗藏非法偷渡、电信诈骗甚至暴力控制。别轻信网上的高薪诱惑,更别走非法渠道出境,不然很容易把自己坑进去。这帮人套路深得很。 🕑#广告赞助商 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢,亏损全额返还! 🫥🫥🫥🫥🫥🫥🫥🫥

15 Aug 2026, 08:07 UTC≈1,750 viewsread 15 August 2026
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#网友投稿 菲律宾0857贵宾厅 CEO“戴安娜” 中文名:郑雅 利用公司职权,联合市场部员工,谋取公司资产,损害公司及公司股东利益 此女私人生活作风混乱,与公司其中一名股东暧昧不清(今天暂不公布此股东信息及名字)慢慢上位,上位之后公司交由她管理,没想到竟然做出如此荒唐的事情,希望你早点醒悟,给公司一个交代,如果不尽早处理,将公布你的个人信息及你情人的身份信息 🕑#广告赞助商 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢,亏损全额返还! 🫥🫥🫥🫥🫥🫥🫥🫥🫥🫥😁🙂🙂🙂🙂🙂 jinbei199.cc 🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮😆😝😝😝😜🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮 xh8113.cc ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️ ✅频道互推

15 Aug 2026, 08:01 UTC33 viewsread 15 August 2026
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💩#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

14 Aug 2026, 16:33 UTC10 viewsread 14 August 2026
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#群友投稿:起因:昨晚一夜未眠,早上精虫上脑,就刷 Tinder 约了个柬妹。 精虫上脑,在一声声“哥哥你好帅,你为什么这么帅”的捧杀中迷失了自我,就同意了妹妹主动发起的约会邀约。 我提出去咖啡厅见面,先喝杯咖啡了解一下彼此,她以“不喜欢喝咖啡”为由推掉了,让我直接去她房间找她。 我出于安全顾虑,提出让她来接我,她也欣然接受了。随后问我要了飞机号,添加后发送定位,说 5 分钟到,问我拍照在哪等她。 发给她照片后,5 分钟左右,有几个国人直直走向我,毫不遮掩地盯着我的脸看了几秒,随后假装路过离开。 等了十几分钟还没有消息,我感觉有些奇怪,就说外面太晒了,准备回酒店前台等,没有继续站在路边。 25 分钟过去了,依旧没有动静。大约 40 分钟左右,她发信息说已经到了,催我上车。 当时我已经起疑,于是提出自己头晕、不舒服,先去前台沙发坐一下,买瓶葡萄糖缓解一下。 她一开始死活不愿意,哄了几句之后,发现我没有上车,就开始进

Showing the 12 most recent of 180 posts we hold for @syxw1. 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 — 87,094 of 1,478,351entries 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 52 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“🅥菲律宾曝光” (@syxw1), 51,808 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/syxw1.

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.