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Channel

东南亚大事件AI『菲行网』

@feixingwang

2 usernames

On this record: Growth · Engagement · Posts · Citations · Cite this entry

4,496subscribers

-60 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003233728759
TypeChannel
Usernames@feixingwang @jinshijia
CreatedBetween 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live15 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/feixingwang

Growth

4,4964,5564,5269 August 2026 — 4,556 subscribers9 August 2026 — 4,549 subscribers9 August 2026 — 4,541 subscribers12 August 2026 — 4,525 subscribers12 August 2026 — 4,523 subscribers15 August 2026 — 4,497 subscribers15 August 2026 — 4,496 subscribers9 August 202615 August 2026
7 measurements spanning 7 days, net -60. 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 4,487–4,565 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 20:554,496-1
15 Aug 2026, 10:134,497-26
12 Aug 2026, 11:234,523-2
12 Aug 2026, 05:124,525-16
9 Aug 2026, 21:124,541-8
9 Aug 2026, 05:504,549-7
9 Aug 2026, 03:314,556first reading

Engagement

40 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.47%
avg views ÷ 4,496 subscribers
Avg views / post
111
40 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
40
of 40 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held40 (7 August 202612 August 2026)
Views total4,444
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 07:37 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.

Recent posts

12 Aug 2026, 06:37 UTC3 viewsread 12 August 2026
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#菲律宾观察 #洪灾影响 #西南季风 #菲律宾新闻 邦板牙省正式宣布进入灾难状态,近300个村庄深陷洪灾泥潭 受西南季风持续肆虐影响,菲律宾邦板牙省近日迎来大范围强降雨,多地积水严重,洪灾形势严峻。为加速救援进程、确保受灾居民及时获得援助,邦板牙省议会于8月11日正式宣布全省进入灾难状态。除人员伤亡外,当地农业也遭受重创,初步统计显示,农业损失金额预计高达约5.054亿比索。 随着雨季持续,当地政府提醒居民密切关注天气动态,积极配合疏散安排。目前,相关部门正全力清理灾区、统计损失,并稳步推进后续救援与恢复工作。 菲行网: @feixingwang

12 Aug 2026, 06:14 UTC4 viewsread 12 August 2026
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#菲律宾观察 #网购诈骗 #菲律宾新闻 #黄金交易 8万比索买金变假,菲律宾女商人网购踩坑 菲律宾伊罗戈斯苏尔省近日发生一起疑似网络黄金交易诈骗案,一名29岁女商人在网上购买黄金手链后,收到的商品疑似是假货,最终损失超过8万比索,目前已向警方报案,据警方介绍,受害者来自圣埃斯特万市巴勃罗村。8月11日下午约2时30分,她前往当地警察局报案,称自己在一次网络购物交易中被骗。 近年来,菲律宾网络交易诈骗案件不断增加,不法分子往往利用黄金、珠宝、投资等高价值商品作为诱饵,通过低价、快速交易等方式吸引买家 菲行网: @feixingwang

12 Aug 2026, 05:51 UTC5 viewsread 12 August 2026
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#菲律宾观察 #菲律宾新闻 #违禁品 #执法部门 价值837.5万比索,菲律宾海关从兔子摆件中查获大量违禁品 8月11日,菲律宾执法部门在邦板牙省克拉克的一处仓库内,查获一件藏有疑似K他命的树脂兔子摆件,其中D品重量约1,675克,估值高达8,375,000菲律宾比索。此次行动由菲律宾海关局主导,现场查获的违禁品疑似被巧妙藏在树脂制兔子摆件内部。 目前,相关执法部门正依据菲律宾现行法律,对这批查获的疑似K他命及涉案货物展开后续调查。 菲行网: @feixingwang

12 Aug 2026, 05:21 UTC3 viewsread 12 August 2026
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#菲律宾新闻 #掐脖欺凌 #中国女子 中国女子在菲遭掐脖欺凌,涉事女子身份不一般! 近日,一位中国台湾妈妈在社交平台发文爆料,称带孩子赴菲律宾长滩岛参加英语游学期间,与一名韩国家长爆发激烈冲突。对方不仅多次言语骚扰,更在学校内对其动手,甚至掐住其脖子致其一度呼吸困难。事后该妈妈已向当地警方报案,事件曝光后迅速引发广泛关注,涉事韩国家长的特殊身份更成为网友热议的焦点。 对于在菲游学的家庭而言,此类冲突无疑令人糟心,同时也提醒大家在海外遭遇矛盾时,务必优先保障自身安全,及时通过合法途径维护自身权益。 菲行网: @feixingwang

12 Aug 2026, 04:50 UTC3 viewsread 12 August 2026
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#菲律宾观察 #菲律宾新闻 #电费 #马尼拉电力公司 电费确实下调了,但菲律宾家庭每月每户仅节省约9比索。 尽管菲律宾马尼拉电力公司(Meralco)8月电费出现小幅下调,但来自奎松省的环保倡导者与能源专家普遍认为,这一降幅对普通民众而言仍显杯水车薪,难以形成实质性的缓解效果。卢塞纳教区生态事务部主任沃伦·普诺神父于8月11日指出,电费下降固然值得欢迎,但消费者真正期待的并非仅仅是短期账单的微小缩减,而是能够带来更廉价、更清洁且更公平电力供应的长期系统性改革。 马尼拉电力公司预计售电量将随之恢复增长,特别是在“超级厄尔尼诺”现象可能来袭的背景下,能源监管部门也应重新审视电力系统损耗等转嫁成本,并考量是否应由相关企业将其作为经营成本予以承担。 菲行网: @feixingwang

11 Aug 2026, 19:15 UTC47 viewsread 12 August 2026
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#菲律宾观察 #菲律宾新闻 #人口贩卖 #国家调查局 酒吧深耕十年竟遭突击检查,菲律宾NBI雷霆出击救出9名女子,深度揭秘背后黑幕 菲律宾国家调查局第12区办公室近日掀起反人口贩卖风暴,在南哥打巴托省科罗纳达尔市的一家酒吧内成功解救出9名女性,其中还包含1名疑似未成年人。行动中共逮捕2名涉嫌参与人口贩卖的关键人员。行动落幕后,这9名获救女子已被移交至菲律宾社会福利与发展部,接受身份甄别、资料建档以及后续的援助与保护工作。 此外,NBI还将与当地商业管理部门紧密联动,若调查证实该酒吧存在违法经营行为,将推动取消其营业许可。目前,案件仍在进一步深入调查中。 菲行网: @feixingwang

11 Aug 2026, 19:06 UTC53 viewsread 12 August 2026
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#菲律宾观察 #全国灾情 #菲律宾新闻 #西南季风 暴雨倾盆,滑坡频发,菲律宾连日强降雨已夺去19条生命。 菲律宾国家减灾与管理委员会11日通报,受西南季风与热带气旋“路易斯”和“玛玛”双重夹击,全国灾情持续蔓延。截至8月11日上午6时,NDRRMC数据显示,事故已致19人死亡、15人受伤,4人失踪,其中本格特省、黎刹省及八打雁省为重灾区。 截至目前,菲律宾政府相关机构已拨付价值7352万比索的人道主义援助与财政支持,助力灾民渡过难关。相关部门正持续监测灾情动态,全力开展搜救、救援及灾后重建工作。 菲行网: @feixingwang

11 Aug 2026, 18:29 UTC47 viewsread 12 August 2026
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#菲律宾观察 #中央银行 #外国投资 #菲律宾新闻 创11年最差纪录,菲律宾外资骤降,资本正在踩刹车 菲律宾的外国直接投资正经历近年罕见的低谷期。菲律宾央行最新数据显示,今年5月外资净流入仅为2.1亿美元,同比大幅下滑64.7%,不仅刷新了11年来最低月度纪录,更跌破了2015年3月创下的历史低点。 从投资来源看,今年前5个月菲律宾吸引的股本资本主要源自日本、美国及新加坡,资金重点流向制造业、金融保险业以及房地产行业。 菲行网: @feixingwang

11 Aug 2026, 18:00 UTC53 viewsread 12 August 2026
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#菲律宾新闻 #马尼拉公寓 #胎儿遗体 马尼拉公寓垃圾桶惊现胎儿遗体!警方紧急排查寻找丢弃者 菲律宾马尼拉汤都区一公寓近日爆出惊人内幕,一名保洁人员在垃圾堆中意外发现一具胎儿遗体。目前警方已迅速介入,正全力追查肇事者,据悉,遗体已被送往殡仪馆妥善安置。警方透露,案件调查仍在紧锣密鼓进行中 待锁定责任人并还原事件全貌后,将依据调查结果采取相应的法律措施。眼下,警方呼吁知情市民踊跃提供线索,协助揭开这起发生在公寓垃圾区的遗弃之谜。 菲行网: @feixingwang

11 Aug 2026, 17:33 UTC49 viewsread 12 August 2026
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#菲律宾观察 #机密资金 #萨拉杜特尔特 #菲律宾新闻 萨拉办公室机密资金收据曝光,多位知名议员涉案! 菲律宾副总统萨拉·杜特尔特弹劾案审理近日再起波澜,副总统办公室提交给审计委员会情报及机密基金审计办公室的部分机密资金收据,在弹劾庭上被公开展示,多笔资金支出记录随之曝光。 根据庭审披露的文件,相关确认收据显示,部分机密基金被列为用于医疗和食品援助、购买信息以及采购物资等用途,而文件中也出现了多名收款人的姓名。 菲行网: @feixingwang

11 Aug 2026, 16:13 UTC43 viewsread 12 August 2026
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#菲律宾观察 #虚假信息 #菲律宾新闻 #国会调查 国会调查敢撒谎?菲律宾拟出重拳:最高20年牢狱伺候 菲律宾参议员罗宾汉·帕迪拉近日抛出一项重磅法案,旨在严打政府官员在国会调查中的“口无遮拦”。提案规定,凡故意撒谎、提供虚假信息或伪造证据者,最高将面临20年监禁,外加巨额罚款及终身禁入政界的严厉处罚。 目前,该法案仍在立法流程中推进,尚待参议院进一步审议。若最终获批,菲律宾公职人员在面对国会质询时,将面临更为严苛的信息真实性考核,造假成本将大幅飙升。 菲行网: @feixingwang

11 Aug 2026, 16:10 UTC40 viewsread 12 August 2026
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#菲律宾观察 #银行业务 #菲律宾新闻 #华商巨头 银行与烟草双轮驱动,菲律宾华商巨头上半年狂揽170亿比索净利 菲律宾老牌商业帝国LT集团有限公司(LT Group Inc.,简称LTG)近日披露2026年上半年财报,在银行业务与烟草业务强劲增长的助推下,公司归母净利润高达170.3亿比索,同比劲增14%,一举刷新上市以来的半年度业绩新高。纵观全局,LT集团此番亮眼表现,核心动力源于金融与烟草这两大传统优势板块的强势拉动。 即便在市场环境充满不确定性的当下,这家菲律宾商业老牌依然凭借多元化的战略布局,牢牢稳固了其强劲的盈利能力。 菲行网: @feixingwang

Showing the 12 most recent of 40 posts we hold for @feixingwang. 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 — 1,259,581 of 1,481,217entries 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 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.

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

“东南亚大事件AI『菲行网』” (@feixingwang), 4,496 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/feixingwang.

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.