Channel
@bx66664
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
141,729subscribers
+2,456 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001236817864 |
|---|---|
| Type | Channel |
| Username | @bx66664 |
| Description | 让你看尽海外实事 东南亚一手新闻资讯 揭露所有东南亚黑幕 一切黑公司 黑人事跑路骗局 最新吃瓜 最新悬赏 最新曝光 尽在东南亚新闻吃瓜大曝光 ☎️投稿爆料-商务合作: @daixiaobu68688 欢迎大家订阅，揭露事实，曝光真相！ 内容申明：不负责判别真假~~~~希望广大网友自己能分别是非，可以信，但是不能全信，之所以发出来供大家阅读，主要还是为了防止更多人踩坑！ #东南亚 #柬埔寨 #菲律宾 #泰国 #迪拜 #缅甸 #老挝 #马来西亚 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 56 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/bx66664 |
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 9 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 09:28 | 141,729 | -427 |
| 3 Nov 2026, 08:09 | 142,156 | -461 |
| 2 Nov 2026, 06:57 | 142,617 | -232 |
| 1 Nov 2026, 09:36 | 142,849 | -147 |
| 31 Oct 2026, 11:47 | 142,996 | -420 |
| 30 Oct 2026, 12:51 | 143,416 | -945 |
| 29 Oct 2026, 14:11 | 144,361 | -874 |
| 28 Oct 2026, 09:51 | 145,235 | -713 |
| 27 Oct 2026, 11:11 | 145,948 | -424 |
| 26 Oct 2026, 07:39 | 146,372 | -265 |
| 25 Oct 2026, 08:49 | 146,637 | -418 |
| 24 Oct 2026, 12:20 | 147,055 | -854 |
| 23 Oct 2026, 15:25 | 147,909 | -3,807 |
| 22 Oct 2026, 17:38 | 151,716 | -4,258 |
| 21 Oct 2026, 09:30 | 155,974 | -364 |
| 20 Oct 2026, 09:18 | 156,338 | -387 |
| 19 Oct 2026, 08:05 | 156,725 | +1,841 |
| 18 Oct 2026, 05:31 | 154,884 | +823 |
| 17 Oct 2026, 02:30 | 154,061 | -132 |
| 16 Oct 2026, 00:34 | 154,193 | first reading |
1,876 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 177 pages of Telegram’s post history, 20 posts per page.
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 574 of 587 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 1,876 (7 August 2026 – 4 November 2026) |
| Views total | 3,786,335 |
| Reactions total | 21,490 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 15:21 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.
Lifetime counters from Telegram’s own channel header, read 4 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.
Measured directly from 112 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.
38,565 reactions across 985 posts, in 11 distinct kinds. The most used accounts for 32.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12,470 | 32.3% | |
| 👍 | 5,447 | 14.1% | |
| 🔥 | 5,305 | 13.8% | |
| 🎉 | 5,147 | 13.3% | |
| ❤🔥 | 1,996 | 5.18% | |
| 🤩 | 1,988 | 5.15% | |
| 🥰 | 1,975 | 5.12% | |
| 💯 | 1,955 | 5.07% | |
| 😍 | 1,854 | 4.81% | |
| 😁 | 342 | 0.887% | |
| 👏 | 86 | 0.223% |
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 986 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 38,565 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 20 September 2026 to 4 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.
Telegram’s own ‘edited’ marker: 0 of 587 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).
民调：杜特尔特2028年大选领先优势缩至7个百分点 菲律宾民调机构Octa Research第三季度调查显示，在2028年总统选举假设性对决中，副总统莎拉·杜特尔特支持率为40%，前副总统、那牙市长莱尼·罗布雷多为33%，领先优势缩小至7个百分点。杜特尔特今年一季度曾以46%对35%领先11个百分点，二季度缩至9个百分点。罗布雷多支持率全年稳定在33%至35%之间，未决选民比例从一季度的19%升至三季度的26%。调查于2026年9月28日至10月4日面对面访问1200名成年受访者，误差范围为±3个百分点。杜特尔特在棉兰老岛仍以71%对2%大幅领先，但较一季度88%明显下滑；罗布雷多在E类低收入选民中支持率从31%升至42%，与杜特尔特持平。
👏1🔥1
菲律宾巴科奥警匪交火致5死 2嫌犯在逃 菲律宾甲米地省巴科奥市发生警匪交火，5名嫌犯被击毙，另有2名嫌犯逃脱，警方正在追捕。据GMA新闻报道，监控显示嫌犯乘坐皮卡车逃离住宅区时向警方开火。警方追捕过程中，一名嫌犯从车上跌落仍继续射击，嫌犯车辆在莫利诺立交桥附近翻车，两名嫌犯抢走一辆摩托车逃跑，最终在死胡同被围堵。5名死者中有2人是前警察，一人已被开除，另一人今年2月旷工离职，两人曾涉及卡洛坎市抢劫案。警方从嫌犯处缴获5支枪。警方发言人表示，嫌犯可能属于更大的犯罪集团，作案目标是一名商人，其手法包括冒充保安进入住宅区。
👍11🥰10🔥2🎉1
三宝颜德尔苏尔省查获走私香烟 一人被捕 菲律宾国家警察周三在三宝颜德尔苏尔省逮捕一名38岁男子，涉嫌走私价值约578万比索的香烟。警方称，嫌疑人罗姆尼克·富恩特斯于凌晨1时25分左右在杜马利瑙镇的反走私行动中被抓获。当局查获101大箱品牌香烟，估计市场价值为5,787,300比索。富恩特斯据称居住在三宝颜锡布格省布格镇。他目前被拘留在杜马利瑙市警察局，查获的走私香烟也已移交以进行记录和妥善处理。菲国警总长何塞·梅伦西奥·纳尔塔特斯二世表示，警方不仅追查非法产品，也确保守法企业获得公平机会。
❤14💯11👏3👍2🔥2
菲律宾农业团体警告厄尔尼诺干旱或加剧虫害 菲律宾农业与食品商会（PCAFI）表示，厄尔尼诺引发的干旱可能加剧农作物虫害，进一步威胁产量。该会主席达尼洛·福斯托指出，政府在保障稻田供水的同时，也须防范极端天气下害虫繁殖。他提到，草地贪夜蛾会侵害玉米和洋葱种植园，红条软蚧则袭击内格罗斯的甘蔗农场，该地区占全国甘蔗产量的60%。虫害担忧叠加化肥和燃料等农资成本上涨，正影响该行业。农业部助理部长阿内尔·德梅萨表示，农业部已通过区域作物保护中心做好应对虫害复发和扩散的准备，援助将视害虫或疾病类型及严重程度而定。
❤🔥11🥰11❤2👍2👏2
菲政府促最高法院驳回弹劾投票规则诉讼 菲律宾总检察长办公室11月3日向最高法院提交47页意见书，要求驳回参议员帕迪利亚和吴针对参议院弹劾法庭投票规则提起的诉讼，认为该请愿为时过早且缺乏依据。争议源于弹劾法庭9月23日以13票赞成、1票反对、6票弃权裁定，将遭拘留、停职、因病无法履职或法律上无法行使职责的参议员排除在投票基数之外，定罪所需票数按实际参与审判的参议员计算，而非全部24名参议员。两名参议员主张宪法要求全体当选参议员的三分之二同意。总检察长办公室称参议院拥有审理弹劾案的专属权力，并反对发布临时限制令。弹劾审判休庭至11月中旬。
🎉8💯8👍7😍7❤1
证人称Sunwest夜间施工安装钢板桩 菲律宾反贪法院周三开庭审理前众议院拨款委员会主席、前Ako Bicol党团众议员Zaldy Co及公造部第四B区官员涉嫌贪污案。检方证人、Tagumpay村主席Nestor Asi作证称，承包商Sunwest Construction的工人夜间在东民都洛省Naujan镇一项2.89亿比索防洪工程安装钢板桩，约晚上7时施工，现场无公造部官员，工人发现他观察即停工。他相信工人是故意夜间安装。另一证人、Naujan建筑维护工头Abraham Panaligan佐证其说法，称Sunwest解释3米钢板桩仅用于围堰。案件源于该工程被指不达标，钢板桩仅3米而非规定的12米。监察专员办公室指控Co及多名公造部官员通过伪造公文贪污公款。
🤩25👍3🎉2👏1🔥1
Silent Sanctuary乐队庆祝24周年 举办经典歌曲演唱会 菲律宾乐队Silent Sanctuary于10月25日在亚洲商城体育馆举办“Gabi ng Lambing”演唱会，庆祝成立24周年。演出曲目涵盖乐队多年经典作品，吸引跨代歌迷到场，许多人全程跟唱。乐队以《Hay Naku》《Rebound》《Sa Piling Mo》开场，并与马尼拉交响乐团及Viva Voce合作演出。Typecast的Steve Badiola和Soapdish的Jeff Bolivar作为嘉宾登台，合唱《Will You Ever Learn》和《Tensionado》。演唱会设置“Lambing Alert”互动环节，鼓励观众向亲友表达爱意。Ashley Gosiengfiao亦作为特别嘉宾出场。安可环节乐队演唱《14》和《Ikaw Lamang》，为演出收尾。
👍19🎉17👏4🤩3😁1
菲众议院被指在预算中塞入逾1800亿比索 菲律宾商业团体批评众议院在公共工程和公路部预算中插入超过1800亿比索，且缺乏公开项目清单或明确发起人。这些增项据称部分通过削减约1300亿比索的外国援助项目、95亿比索的灾害基金和49亿比索的卫生项目来提供资金，埃德萨大道公交系统也未获拨款。众议院以281票赞成、13票反对三读通过总拨款法案。评论人士希望参议院能逆转或阻止这一做法，并期待总统行使否决权。
🎉10❤🔥6🥰5👍3👏2
🏆🏆🏆🏆🏆🏆 🇻🇳🇻🇪🇻🇳🇻🇳🇻🇪 🩷🩷🩷🩷🩷🩷🩷🩷🩷 🏆 多元游戏 · 一站畅玩 🏆 真人/电子/体育/棋牌/捕鱼/彩票 🏆 每日返水 · 福利不断 🏆 极速出款 · 高效服务 🏆 7×24小时在线客服 🏆🏆🏆🏆🏆🏆🏆🏆🏆🏆 🏆支持认证：点击可查 🌟😍😍😍😍😍😍😍😍😍😍😍 🩷🩷🩷 🩷🩷🩷 🩷🩷🩷 🩷🩷🩷 🩷🩷🩷 🩷🩷🩷 🌟😍😍😍😍😍😍😍😍😍😍😍 🏆🏆🏆🏆🏆: M8.com 🏆🏆🏆🏆🏆: @m8baby04 🏆🏆🏆🏆🏆: @m8vvip 🩷🩷🩷🩷🩷: @M8COM04_bot
❤21👍21🎉18💯4😍4
埃亚拉香港公开赛首轮战胜琼斯晋级 菲律宾网球选手亚历克斯·埃亚拉周二在香港公开赛首轮以6-4、6-3击败澳大利亚选手埃默森·琼斯。原定对手阿莉西亚·帕克斯因肩伤在赛前数小时退赛，由琼斯替补出战。首盘埃亚拉一度以4-0领先，18岁的琼斯随后连追三局，并在第十局取得40-15优势，但埃亚拉连得四分拿下首盘。第二盘埃亚拉在第五局取得4-1领先，最终用时1小时23分钟结束比赛。埃亚拉下一轮将对阵特蕾莎·瓦伦托娃，后者直落两盘战胜日本选手坂诘姬野。
👍17🤩14🔥13😍10❤🔥7
西班牙球员德米格尔与门将相撞后身亡 西班牙特内里费俱乐部宣布，30岁前锋赫苏斯·德米格尔于周二上午8时因伤去世。他在西乙联赛对阵安道尔FC的比赛中，被冲出禁区解围的赤道几内亚国门赫苏斯·奥沃诺犯规撞倒。事发时比分2比2，比赛接近尾声，奥沃诺被红牌罚下，比赛随后中止。西班牙警方消息称，事件已展开调查并接受司法监督。西班牙媒体称德米格尔曾心脏骤停并接受复苏，送医后进入重症监护，俱乐部此前表示其神经系统状况恶化。安道尔、皇马、巴萨、马竞、西班牙足协及欧足联等均致哀，西班牙足协推迟了周二的国王杯和女王杯比赛。
🔥36👏27🤩27❤22😍15
菲管理协会反对EDSA公交专用道向私家车开放 菲律宾管理协会（MAP）11月3日发表声明，反对政府将EDSA公交专用道向私家车开放，认为学生返校不足以成为豁免理由。此前一天，政府于11月2日凌晨5时开放奎松市Nepa Q-Mart公交站至曼达卢永Boni大道南向路段，以缓解万圣节假期后学生和员工返城造成的拥堵。MAP指出，由于缺乏政府支持，公交专用道上的巴士数量持续减少，呼吁缩短发车间隔并建设Roosevelt、Cubao、Rockwell、Ayala、Magallanes、Malibay及Pasay至PITX等缺失车站，同时要求国会恢复2027年预算。该协会援引数据称，自2020年6月1日运营至2025年12月，系统累计运送乘客341,307,847人次，单日峰值454,649人次出现在2023年12月27日。MAP仅对有限例外留有余地，如上下学时段允许载客四人以上的拼车，但须监管机构能够有效执法。
❤15👍7🥰7💯2😍2
Showing the 12 most recent of 1,876 posts we hold for @bx66664. 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 13 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 18 seed channels' Telegram-generated recommendation lists in total, of which the 17 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“菲律宾大事件-东南亚曝光吃瓜记” (@bx66664), 141,729 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/bx66664.
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.