Telegram RegisterThe public register of Telegram

Channel

菲律宾大事件🇵🇭海博新闻资讯

@HaiBo44

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

80,942subscribers

-946 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-1001882460648
TypeChannel
Username@HaiBo44
Description🔆菲律宾大事件华人频道专注菲律宾华人最新资讯 ➖➖➖➖➖➖➖➖➖➖ 🇰🇭柬埔寨新闻大事件: @kaleminews 🇵🇭菲律宾新闻大事件: @HaiBo44 🇦🇪迪拜新闻大事件: @HaiBo11 🇲🇲缅甸新闻大事件: @FeiDu11 🇹🇭泰国新闻大事件: @HaiBo22 🤝求职&招聘 投稿爆料(免费发布): @kexin2456 📲商务合作: @kexin2456 🔆为您提供菲律宾最新的新闻大事件 为华人分享菲律宾文化,一起看菲律宾大小事 #菲律宾 #新闻 #大事件 #生活资讯 #东南亚
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/HaiBo44

Topic

Gambling & betting — 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 97% 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 2 other registered channels. 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
@HaiBo44/22701 · this entry7 Aug 2026, 11:05 UTC@HaiBo11/783677 Aug 2026, 11:06 UTC1.00under a minute
@HaiBo11/783837 Aug 2026, 13:02 UTC@HaiBo44/22706 · this entry7 Aug 2026, 13:03 UTC1.00under a minute
@HaiBo11/783877 Aug 2026, 15:07 UTC@HaiBo44/22711 · this entry7 Aug 2026, 15:07 UTC1.00under a minute
@HaiBo44/22713 · this entry7 Aug 2026, 18:04 UTC@HaiBo11/783898 Aug 2026, 00:05 UTC1.006.0 hours
@HaiBo44/22715 · this entry8 Aug 2026, 00:05 UTC@HaiBo11/783918 Aug 2026, 00:05 UTC1.00under a minute
@HaiBo22/245557 Aug 2026, 11:05 UTC@HaiBo44/22701 · this entry7 Aug 2026, 11:05 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@HaiBo115 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (32)
@HaiBo225 (5/5 hand-verifiable sample passed)1.00under a minute@HaiBo22 (41)

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. 6 of the 6 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 17 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 @HaiBo22. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, 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

80,94281,88881,4157 August 2026 — 81,888 subscribers8 August 2026 — 81,797 subscribers9 August 2026 — 81,627 subscribers10 August 2026 — 81,358 subscribers11 August 2026 — 81,146 subscribers12 August 2026 — 80,942 subscribers7 August 202612 August 2026
6 measurements spanning 5 days, net -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 80,800–82,030 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:5380,942-204
11 Aug 2026, 10:5381,146-212
10 Aug 2026, 12:0281,358-269
9 Aug 2026, 08:3281,627-170
8 Aug 2026, 05:5781,797-91
7 Aug 2026, 18:4581,888first reading

Engagement

110 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.55%
avg views ÷ 80,942 subscribers
Avg views / post
4,490
110 posts measured
Reaction rate
0.642%
reactions ÷ views · ER floor
Posts in window
110
of 110 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 107 of 110 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 12 August 2026
Posts held110 (7 August 202612 August 2026)
Views total493,829
Reactions total3,110
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:50 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
1,980
Links
5,810

Lifetime counters from Telegram’s own channel header, read 12 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
33m 16s
Average length
43s

Measured directly from 46 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

3,110 reactions across 107 posts, in 6 distinct kinds. The most used accounts for 17.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉55417.8%
😁54917.7%
🔥52917.0%
👍50516.2%
49716.0%
🤩47615.3%

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 107 of the 110 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 3,110reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 110 most recent posts we hold, published 7 August 2026 to 12 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

12 Aug 2026, 18:05 UTC≈5,370 viewsread 12 August 2026
Video

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12 Aug 2026, 15:07 UTC≈7,820 views29 reactionsread 12 August 2026
Video

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🎉7🔥65😁5🤩4👍2

12 Aug 2026, 13:43 UTC≈5,120 views12 reactionsread 12 August 2026
Photo

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🎉32🔥2🤩2😁2👍1

12 Aug 2026, 13:10 UTC≈1,680 views32 reactionsread 12 August 2026
Photo

#菲律宾 #鸿运 #十一 #偷吃回扣 先给你留点做人的尊严,敏感信息先打码。今天不想把事做绝,你自己清楚走支付通道时干了哪些偷鸡摸狗的事。 你公司人好像叫你十一。我不管你在鸿运偷吃了多少商户回扣,找车队跑那些分公司不知道的业务,你干的缺德事自己心里有数。阿飞不知道、小六不知道、新一不知道,你当所有人都傻?国内有车有房的人,跑来干这种下三滥的事?从园区到马卡提,你还算个人吗?表面装人样,钱包里动了多少手脚你自己清楚。 话说到这你也能猜个八九不离十了。你问我为啥爆你?吃公司的我不管,吃相难看是你自己的事,但不守信用丢鸿运的脸,还威胁到我的利益,玩女人玩到我头上了,操你妈的! 当初和土豆、飞机CJ_tianyue在钱包账户里搞小动作的事,你以为我不知道 有房有车,在菲还搞个小三,你可以的,巴适得很。你大概知道我是谁了,大家都是园区出来的。找小编要我联系方式,明天中午12点前没说法,我就先去码,然后各大站点全网曝光,同时国内安

🎉11🤩6👍4🔥4😁43

12 Aug 2026, 13:08 UTC≈5,100 views27 reactionsread 12 August 2026
Photo

马尼拉水道变垃圾海 300吨垃圾堵爆 菲律宾马尼拉墨拉兰(Baclaran)近日出现严重垃圾堆积,一条连接巴兰玉计市与巴西市的重要水道,几乎被垃圾彻底覆盖,短短几天就堆积超过300吨废弃物。 据当地环保部门介绍,近期持续强降雨,大量塑料袋、生活垃圾等随着雨水和海浪进入水道,最终全部堆在一起,造成严重堵塞。 这条约1公里长的水道连接马尼拉湾,同时也是当地重要的排水通道。如今水面被垃圾覆盖,场面相当夸张。 当地居民表示,以前这里还能捕鱼甚至游泳,如今却连水面都快看不到了。一名经常来钓鱼的居民说,以前一个小时还能钓到约半公斤鱼,现在已经很久没有收获。 环保部门指出,这次垃圾数量明显超过以往,但具体来源目前还难以确定,初步认为可能来自马尼拉及周边多个地区。 目前,巴兰玉计市、大岷署以及公共工程部门已经联合展开清理,出动清运车辆和漂浮式设备,工作人员甚至需要直接涉水搬运垃圾。 菲律宾公共工程部长文斯·迪松直言,这已经成为一场

6😁6🤩5👍4🎉3🔥3

12 Aug 2026, 13:08 UTC≈5,450 views49 reactionsread 12 August 2026
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中国女子长滩岛遭韩国家长掐脖 近日,一名中国台湾妈妈发文说,她带孩子去菲律宾长滩岛参加英语游学,结果跟一名韩国家长起了冲突。对方不但多次言语骚扰,还在学校里直接动手打人。 据她讲,一开始只是因为3岁孩子的分班问题吵起来。后来矛盾越闹越大,对方多次用身体或包包撞她。毕业典礼当天又干上了,对方疑似拉她衣领还掐住脖子,弄得她一度喘不上气。现场老师和家长赶紧把两人拉开,她事后就去当地警方报了案。 事件曝光后,有网友开始起底这名韩国家长,甚至有人说她疑似跟韩国艺人金在中有亲属关系。不过这身份目前没得到当事人或官方证实,金在中本人和经纪公司也暂时没回应。 涉事语言学校随后发了声明,承认沟通和管理上确实有问题,并向受影响的家庭道歉。校方表示会加强监控、完善冲突处理机制,明确禁止肢体攻击、骚扰和故意阻挡这些行为。 目前事情还在进一步处理中,校方也说会继续调查,配合相关部门把后续问题解决干净。 #以下为频道广告赞助商 ———————

🤩13👍9🔥8🎉7😁75

12 Aug 2026, 13:08 UTC≈5,120 views52 reactionsread 12 August 2026
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#菲律宾 #贵宾厅CEO #郑雅 #多重贪腐 此人中文名郑雅,英文名Diana,是菲律宾OKADA、SOLAIRE实体数字贵宾厅的CEO。她一份工居然领了四五份薪水,真是够狠。 她联合自家市场部偷吃客人B数。客人一旦赢钱,就利用职务之便让帐房同事窜改数据,直接坑公司利益。 后来新来的菲籍同事被转到所谓仲介,实际上根本没见过真仲介,全是用这套手法偷赚背后大股东的钱。 名义上说要替菲籍员工交社保,钱却全进了她自己口袋。 公司任何外籍签证都跟某位股东的小舅子合作,收费比外面任何仲介都贵,效率还慢得要死,把自家员工当杀猪盘宰。 员工办工作签证期间要是因为个人原因想离职,就威胁要赔23万。过了几个月员工自己花钱找仲介一查,工作签证进度根本没送进去办。要是当时真赔了那笔钱,又是被公司直接吃掉。 她还利用职务要求自家主管跑去竞争对手的贵宾厅帮忙培训新员工,自己也加入了对方的工作群组。 下次就把她护照丢给中国公部门处理吧。 #

🎉14🔥13👍8🤩76😁4

12 Aug 2026, 13:08 UTC≈1,630 views11 reactionsread 12 August 2026
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菲律宾防洪预算降至1074亿严查 菲律宾公共工程与公路部8月12日表态,要死盯2027年那1074亿比索的防洪预算,确保每一分钱都花在真正需要的项目上,别再瞎浪费了。 公共工程部长文斯·迪松说,以后想进预算的防洪工程,必须提前规划好,还得跟地方政府商量清楚,不能再搞那种“有钱就建”、结果根本解决不了洪灾的烂项目。 这1074亿比索的预算明显比以前少多了,最高的时候可是接近3000亿比索。政府还打算弄个“透明门户网站”,把相关项目都公开,让老百姓随时查工程进度和钱花哪儿了,接受社会监督。 迪松还提到,除了清理排水系统、疏浚河道这些基础活,政府也在琢磨水坝、山区蓄水设施这类长期项目,并重新评估连接拉古纳湖和马尼拉湾的大型排洪工程。 他强调,防洪的钱本来就有限,必须保证每项工程都能真正起作用,绝不能让公共资金再被坑掉。 #以下为频道广告赞助商 ——————————————— 😂😂😂😂😂😂2028体育PG电子大放水 U存U提

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12 Aug 2026, 13:03 UTC≈5,130 views24 reactionsread 12 August 2026
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12 Aug 2026, 12:59 UTC5 views26 reactionsread 12 August 2026
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12 Aug 2026, 12:26 UTC5 views10 reactionsread 12 August 2026
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#非凡体育 #黑平台 吞我2万6 非凡体育,网址2121.com,飞机代理账号@ffhgdlzy。 我账号是pzf088,在这个平台玩到快VIP8了,之前存提一直没出过问题。平时主要玩体育,偶尔来点百家乐。体育都是大比赛,电竞也只玩英雄联盟LCK、LPL、S赛这些正规大赛,那些乱七八糟的业绩赛、电子足球、电子篮球太假,我从不碰。 有次充了1万,玩WNBA赢到2万6,提现却一直不到账。问客服就回审核中,审核了一个多星期还不放。后来自己这边出了点事,有段时间没登录。再上的时候一直提示账号密码错误,用手机号也进不去。客服说账号异常,要发邮件审核,邮件回复就只会让等,又是一星期。 联系他们飞机代理,代理说是因为投注了电竞才触发风控。我明明下的是WNBA,就算以前下过电竞,也都是大比赛。我他妈能操控LPL、LCK?玩到快VIP8,之前一天输十几万的时候你们怎么不说违规?我也去过东南亚做过体育盘,你们那点套路我门清。要黑钱就直说,别

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12 Aug 2026, 12:13 UTC≈1,080 views13 reactionsread 12 August 2026
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Showing the 12 most recent of 110 posts we hold for @HaiBo44. 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

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

“菲律宾大事件🇵🇭海博新闻资讯” (@HaiBo44), 80,942 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/HaiBo44.

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