#马尼拉健康警报 菲律宾雨季再敲健康警钟! 菲律宾大学迪利曼分校研究人员在马尼拉市埃斯特罗·德帕科水道沿线采集水和土壤样本,结果发现,5个采样点全部检出钩端螺旋体,相关细菌可能引发钩端螺旋体病。 研究还鉴定出两种可感染人类和动物的菌株。不过,环境样本检出细菌,并不代表当地居民已经感染,也不能据此认定近期病例有所增加。 关注缅北大事件频道➡️ @mb328 投稿:@xb753

Channel
缅北大事件(曝光)
@mb328
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
27,647subscribers
+7,758 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 | -1001542569396 |
|---|---|
| Type | Channel |
| Username | @mb328 |
| Description | 缅北大事件(曝光)频道专注于东南亚(缅甸,柬埔寨,越南,老挝,泰国,马来西亚,新加坡,菲律宾等国家)曝光华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 #迪拜 #泰国 #菲律宾 #柬埔寨 #缅甸 #中国 #老挝 #斯里兰卡 #新闻资讯 #博彩 #狗推 投稿爆料: @xb753 🌏广告联盟业务合作 联系商务: @xb753 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 October 2026 |
| Measurements held | 47 |
| Confirmed unchanged | 1 time, most recently 23 October 2026 |
| On Telegram | t.me/mb328 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Oct 2026, 18:57 | 27,647 | -22 |
| 22 Oct 2026, 17:39 | 27,669 | -34 |
| 21 Oct 2026, 14:50 | 27,703 | -10 |
| 20 Oct 2026, 11:56 | 27,713 | -20 |
| 19 Oct 2026, 08:21 | 27,733 | -18 |
| 18 Oct 2026, 05:59 | 27,751 | -18 |
| 17 Oct 2026, 08:17 | 27,769 | -65 |
| 16 Oct 2026, 08:44 | 27,834 | -49 |
| 15 Oct 2026, 07:30 | 27,883 | -149 |
| 14 Oct 2026, 02:59 | 28,032 | +4,858 |
| 11 Oct 2026, 15:17 | 23,174 | +2,755 |
| 7 Oct 2026, 04:00 | 20,419 | +7,779 |
| 2 Oct 2026, 06:16 | 12,640 | -2,173 |
| 18 Sept 2026, 11:16 | 14,813 | -652 |
| 16 Sept 2026, 02:20 | 15,465 | -479 |
| 14 Sept 2026, 08:58 | 15,944 | -481 |
| 12 Sept 2026, 18:00 | 16,425 | +2,678 |
| 10 Sept 2026, 20:36 | 13,747 | -779 |
| 7 Sept 2026, 18:38 | 14,526 | -782 |
| 4 Sept 2026, 20:58 | 15,308 | first reading |
Engagement
794 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 79 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.23%
- avg views ÷ 27,647 subscribers
- Avg views / post
- 618
- 255 posts measured
- Reaction rate
- 0.213%
- reactions ÷ views · ER floor
- Posts in window
- 255
- of 794 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 176 of 255 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 794 (7 August 2026 – 24 October 2026) |
| Views total | 157,504 |
| Reactions total | 176 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Oct 2026, 08:21 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
- ≈61,400
- Videos
- ≈8,390
- Links
- ≈5,150
Lifetime counters from Telegram’s own channel header, read 24 October 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
- 3h 04m
- Average length
- 48s
Measured directly from 229 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
568 reactions across 567 posts, in 9 distinct kinds. The most used accounts for 13.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 79 | 13.9% | |
| ⚡ | 74 | 13.0% | |
| 🎉 | 74 | 13.0% | |
| 🔥 | 72 | 12.7% | |
| 😁 | 71 | 12.5% | |
| 🤩 | 69 | 12.1% | |
| 👏 | 66 | 11.6% | |
| 🥰 | 61 | 10.7% | |
| ❤ | 2 | 0.352% |
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 568 of the 794 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 568 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 794 most recent posts we hold, published 7 August 2026 to 24 October 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
#菲律宾新法案 菲律宾参议员埃斯库德罗近日提出第2569号法案,建议免除住宅小区和公寓楼公共区域的房地产税,以降低居民的住房开支。 由于这类税费可能被物业管理方计入运营成本,再通过物业管理费分摊给业主,如果法案最终通过,菲律宾公寓业主有望间接受益,#其中也包括符合适用条件的中国籍业主。 不过,这项提案目前仍处于审议阶段,并非已经生效。 关注缅北大事件频道➡️ @mb328 投稿:@xb753
🔥1
#网友反馈:波贝海发大厦估计是一波印尼人被摁头了,现在大巴车和警车直接拉人出发 关注缅北大事件频道➡️ @mb328 投稿:@xb753
👏1
#网友曝光:此人代号“普京直通车”(真名:胡文斌,福建福州人),与“老莫不吃鱼”串通合作,职业从事美国公户直通车做假黑钱! 作案手法以“冻结无法转出”视频作假,要求打电话去银行查询流水,就以人头电话卡丢失、邮箱无法登录接不到验证码为由推脱! 从22年至今大肆坑骗圈钱!由“老莫不吃鱼”打通各大集团关系接手通道业务,“普京直通车”负责做假顶雷! 环亚云顶35万u、KK金蚂蚁50万u、世纪万安30万u、特区九州20几万u,以及前新币担保的“环球直通车公群”幕后也是此团伙!不计其数被黑的中介、三方四方通道!累计超千万u! 胡文斌,你和老莫两个杂种吃里扒外,多少业务员、代理辛辛苦苦熬出来的成果进了你们两个杂种的口袋! 给你们通道做是出于信任!东南亚就这么大,总有走夜路闯鬼的时候!事到如今,多少人在找你,你自己心里应该有数吧!坑了多少公司,让我帮你回忆回忆?你继续躲着,躲一辈子! 关注缅北大事件频道➡️ @mb328 投稿:…
🥰1
#菲律宾网贷 催收遭执法部门调查! 菲律宾国家调查局10月23日透露,执法人员在马卡蒂市逮捕80多名涉嫌参与不当网络借贷业务的人员。 调查发现,相关人员被指利用短信群发设备向借款人施压,一旦逾期还款,便威胁派警察上门,甚至扬言公开个人信息,迫使借款人还钱。 国家调查局表示,相关催收行为可能涉及敲诈勒索等违法问题,目前正进一步调查涉案人员及网贷业务的运作情况。 关注缅北大事件频道➡️ @mb328 投稿:@xb753
👏1
泰缅边境11名外国人逃离妙瓦底电诈窝点!偷渡湄索后躲进甘蔗地,最终被泰军抓获 10月23日,据缅甸媒体媒体报道,11名来自亚洲及非洲7个国家的外国男子,疑似从缅甸妙瓦底电诈窝点逃出,冒险渡过莫伊河(又称友谊河),进入泰国湄索地区后被安全部队发现并拘捕。 一、11人藏身甘蔗地,遭泰国军警包围 泰国执法部门接获线报,称有一批外国人从缅甸非法越境,随后在达府湄索县Mae Kasa地区第10村附近展开搜索。 执法人员最终在河岸附近一片茂密的甘蔗地内,发现11名躲藏的外国男子。经检查,所有人均未持有有效护照、签证或合法入境文件。 此次行动由泰国移民警察、第五移民调查单位及Ratchamanu特遣部队共同执行。 二、涉及7国人员,其中4人为中国籍 被查获的11人分别来自: 中国:4人,印度:2人,巴基斯坦:1人,越南:1人,尼日利亚:1人,肯尼亚:1人,南非:1人 三、疑从电诈园区逃出,是否遭强迫工作仍待调查 据报道,这批人员声称从…
👍1
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#澜湄执法合作中心协调遣返5名逃犯 近期,经澜湄执法合作中心协调,柬埔寨、泰国、越南警方共抓获5名中国警方通缉的逃犯,并已完成遣返移交程序。 关注缅北大事件频道➡️ @mb328 投稿:@xb753
波贝市中心正在大检查! 最新消息 波贝市中心正在进行大检查,地点就在海发大厦旁边。附近的兄弟注意 关注缅北大事件频道➡️ @mb328 投稿:@xb753
#马卡蒂临时封路 菲律宾马卡蒂市发布交通提醒! 因“欢乐跑十”活动将在世纪城及阿夸私人住宅区一带举行,10月24日凌晨0点至上午8点,马卡蒂部分道路将实施临时封闭和交通管制,涉及马卡蒂大道、马卡蒂—曼达卢永大桥及科罗纳多街。 计划在凌晨或清晨经过相关区域的司机要提前规划路线,尽量绕开封闭路段,以免耽误行程。 关注缅北大事件频道➡️ @mb328 投稿:@xb753
🔥1
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Showing the 12 most recent of 794 posts we hold for @mb328. 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 1 registered channel — 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.
@ty000 · 23926 posts环球娱乐-官方频道
@hqyl88 · 8,41225 postsU99贵宾会-官方频道
@U99GBH · 2,53625 postsU99.COM【官方福利直播间】
@vvip11 · 4,23225 posts今日全网曝光频道
@bg855 · 291,4855 posts东南亚(有话说)|曝光日记
@db933 · 190,7112 posts78.COM-官方频道@DF78
@tg78com · 27,5352 posts瓜友/猎奇/SM/曝光/搞笑反差新闻
@cg6669 · 66,2681 post东南亚大事件|曝光|悬赏|投稿🏆
@dyy83 · 110,6201 postSpam Info Bot
@SpamBot · 35,380,2911 post菲律宾【幸存者】中心🔇
@tx766 · 6501 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@mb328 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 3 posts, 9 August 2026 – 12 August 2026 · confirmed gone 12 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 23 October 2026 — this entry's latest reading, not the date you are reading this.
“缅北大事件(曝光)” (@mb328), 27,647 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/mb328.
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.