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Channel

【FLL】海外新闻

@HWXWFLL

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

77subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001720370615
TypeChannel
Username@HWXWFLL
CreatedBetween 1 December 2021 and 15 November 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live22 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/HWXWFLL

Growth

778078.57 August 2026 — 80 subscribers9 August 2026 — 80 subscribers22 August 2026 — 77 subscribers7 August 202622 August 2026
3 measurements spanning 15 days, net -3. 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 77–80 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 18:0377-3
9 Aug 2026, 19:0280no change
7 Aug 2026, 08:3680first reading

Engagement

10 posts held, back to 15 November 2022the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 21 January 2023. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
21s
Average length
21s

Measured directly from 1 video 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

11 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 36.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍436.4%
🤣327.3%
218.2%
👏218.2%

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 8 of the 10 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 15 November 2022 to 21 January 2023, 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

21 Jan 2023, 16:00 UTC≈4,240 views0 reactionsread 9 August 2026
Photo

新的一年【FLL】致以最诚挚的祝福和问候!🎉 祝大家新的一年财源广进、大吉大利、年年有余、步步高升、事事如意、心想事成、万事如意、富贵有余、金玉满堂、福寿双全、竹报平安、龙凤呈祥、鸿图大展!

18 Dec 2022, 13:29 UTC≈10,200 viewsread 9 August 2026
Video

今晚23点世界杯决赛 阿根廷🇦🇷 VS 法国🇫🇷 你更看好哪一队呢? 一起来观看赛事直播交流吧👇 https://t.me/+-8OTeebkjVo5MjA1

15 Dec 2022, 11:05 UTC≈3,800 views3 reactionsread 9 August 2026
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#老挝大事件 老挝男子同时娶两位娇妻,羡煞旁人! 据老挝媒体报道,近日,一组老挝婚礼照片在网络上引起当地极大的轰动。 照片中,一名老挝小伙竟高调同时迎娶了两位新娘,并举办了传统婚礼。 一场婚礼居然有两位新娘,也就是说小伙同时娶到了两位美娇妻,引来了一众老挝网友的羡慕! 在祝福新人的同时,也有不少质疑的声音,大家如何看待这场三人婚礼呢?

1👍1🤣1

5 Dec 2022, 05:29 UTC≈2,880 views3 reactionsread 9 August 2026
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#柬埔寨大事件 柬埔寨男子偷车逃到省外,警方靠轮胎印抓人! 【柬埔寨头条综合报道】据柬媒12月4日消息,柬埔寨卜迭棉芷省一名男子偷车后逃到暹粒省,没想到却被当地警方通过轮胎印的方向判断出其逃跑路线,最后从将其抓捕。 警方消息称,嫌疑人名叫杜瓦萨那,男性,33岁,居住在卜迭棉芷省斯外杰县。而其盗走的汽车是一辆白色货车,车上运的是10吨米糠,车主是一名31岁本地人。 据该省波列内波列县警方透露,在嫌疑人偷完车后,12月3日凌晨,警方接获报案并展开调查。由于观察到被盗现场地上的轮胎印往东方向,警方断定嫌犯要经过暹粒省,便立马联系那边的警方协助抓捕。 同日上午8点,暹粒省刑事轻案组和交警部门合作下,确实发现嫌疑人并依法实施逮捕并且还拿回了被盗车辆,最后连人带车一起移交给卜迭棉芷省警方依法处置。 应提的是,上述盗窃事件发生在12月2日晚上,当晚11点左右,车主把车停靠在6号公路其母亲餐厅前,并且车钥匙还在车上,直到3日凌晨,

🤣2👏1

27 Nov 2022, 13:23 UTC≈3,100 views0 reactionsread 9 August 2026
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#柬埔寨大事件 马德望省严厉打击毒品犯罪 【柬单网综合报道】据柬媒消息,11月26日,由于马德望省普农波乐县是柬埔寨和泰国接壤地区中的一个重点目标,因此该省警局发布指令,与相关执法人员合作组织警力加强和控制毒品犯罪。 据了解,上述行动是由该省警察部队、柬埔寨国家宪兵队和第819边防营合作开展检查两个目标,目的是严查和打击毒品犯罪以及沿边境非法运输毒品。 同时,由于过去按照指令严查毒品实施,当局未发现任何非法药物。

19 Nov 2022, 15:23 UTC≈1,920 viewsread 9 August 2026
Photo

#老挝大事件 老挝央行汇率和民众兑换的汇率差距过大,导致指定授权的兑换店多数违规被封! 至此,老挝央行授权在全国范围内继续提供外币兑换服务的兑换店仅余113家,其中万象有76家,琅勃拉邦省有8家,沙耶武里府有1家,沙耶武里府有3家Borikamxay 省、Khammouan 省 1 家商店、Savannakhet 省 16 家商店和 Champasak 省 8 家商店。老挝政府要求,外币兑换商店每日的基普和美金汇率,不可以超过央行汇率的+3%; 至于其他币种的汇率,不得超过其所属经营银行的汇率,代理兑换店无权出售外币,有权向个人客户买入外币。 但是呢,按照老挝央行公布的汇率,是在让人有点无言以对……

18 Nov 2022, 11:34 UTC≈1,680 views2 reactionsread 9 August 2026
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#柬埔寨大事件 贩卖柬籍新娘至中国,女子被判10年 【柬单网综合报道】据柬媒消息,11月16日上午,最高法院开庭审理一名女子涉嫌贩卖2名柬籍女子至中国当新娘被判10年的上诉案件。 据悉,被告为蕾丝罗,女,25岁,2018年涉嫌贩卖2名柬籍女子至中国当新娘被警察逮捕。 2020年,磅湛省初级法院以贩卖人口罪名,判处被告10年有期徒刑。 不过,被告不服,又向金边上诉法院提出上诉,但仍被维持原判,因此,继续向最高法院上诉。 目前,最高法院暂未宣判。

👍1👏1

16 Nov 2022, 16:47 UTC≈2,210 views2 reactionsread 9 August 2026
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#老挝大事件 真是老当益壮啊!老挝快60岁老妇竟然又吸毒又贩毒… 经当地民众举报,华潘省万赛县警方警方抓获1名涉嫌吸毒贩卖毒品的嫌疑人员,为一名近60岁的老妇。老人身上还藏有500多颗毒品药丸,以及120万老币现金。 真是难以想象,这位已满脸爬满皱纹的老妇竟然不仅是名吸毒上瘾的“瘾君子”,还搞贩卖毒品的生意。经过调查,该名老妇刚开始自己开始吸食毒品,上瘾后发现有利可图就开始接触上毒品贩卖交易。 从第一口到后来的每一口,老妇对毒品的需求量越来越大,在所有的积蓄都“投资”了毒品后,便开始了以贩养吸之路。 吸毒是害自己,而贩毒是害他人,让吸毒者的身体和精神受到摧残。

1👍1

16 Nov 2022, 07:04 UTC≈1,740 views0 reactionsread 9 August 2026
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#菲律宾大事件 菲律宾76岁老妇遇迷惑党诈骗 损失40万现金及首饰 当地时间11月15日,菲律宾南甘马仁省(Camarines Sur)Baao镇一名76岁老妇遭遇诈骗团伙,损失40万披索的现金及贵重物品。 受害人的女婿讲述称,当时一个陌生女性接近了他的岳母。 随后,诈骗团伙与受害人交谈并开始迷惑她,让她自愿从两个银行账户中提取现金,并将家里所有首饰以一件1000披索卖给嫌疑人。 犯罪团伙在受害人面前将总价42万披索的现金和首饰放入一个容器中,并在交给受害者之前用纸和胶带包裹。 据称,嫌疑人向受害人承诺他们会回来,但他们再也没有回来。当受害人打开胶带包裹时,钱不见了,里面只剩下一叠厚厚的纸张。 受害人的女婿Antonyo Panambo说:“我妈当时感觉到已经是诈骗了,所以她非常紧张。他们对我妈说了一些很吸引人的话,直到她被迷惑了。据悉,一个女人又高又黑,另一个又矮又胖,年纪稍大。然后和他们在一起的男人又胖又矮。据

15 Nov 2022, 12:46 UTC≈1,880 views1 reactionsread 9 August 2026
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#缅甸大事件 木姐市区14日发生连环爆炸 已造成11人受伤 昨天(11月14日)上午11:00许,缅甸掸邦北部的中缅边贸重镇木姐市发生连环爆炸,已造成至少11人受伤,其中包括2名军人和一名五岁的儿童。 据当地社会援助协会一负责人表示,爆炸事件发生在明格拉木姐大路敏瑞丽大路和林姚奇路之间(မင်္ဂလာမူဆယ်လမ်းမကြီး၊မြစ်ရွှေလီလမ်းမနဲ့လင်းရောင်ခြည်လမ်းမကြား‌),至少造成11人受伤。在受伤者中,包括一名五岁男孩在内的8名男性和3名女性。 一当地居民表示,爆炸事件分别在车上、从欣漂门往明格拉路的地方等3个地方发生。受伤者内包括5名民兵。当地社会援助协会将受伤者送往医院抢救,将伤势严重的1名男性紧急送往曼德勒医院抢救。 爆炸事件造成道路边的一些商店和停靠的车辆轻微损害。事发后,大批军警已封锁现场,并在周围展开搜查。 据悉,2021年以来,木姐市时常发生爆炸、枪击事件和抢

👍1

Showing the 10 most recent of 10 posts we hold for @HWXWFLL. 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.

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

“【FLL】海外新闻” (@HWXWFLL), 77 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/HWXWFLL.

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.