香港碧瑶湾发生持刀伤人案 8月10日上午,香港01报道,薄扶林碧瑶湾一名22岁孟加拉籍男子赤膊赤脚持刀行凶,将一名外籍女佣颈部及背部砍伤,一名挺身阻止的保安员亦受轻伤,警方当场将其拘捕。 事后警方在疑犯单位内发现一只约半岁大的雌性英国短毛猫头部有两处伤口,已交由爱护动物协会救治,手术后情况稳定,警方另列残酷对待动物案跟进。消息指疑犯患有情绪病。 source

Channel
☠️三战快报☠️一级战备
@endofxi
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
21,131subscribers
+97 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001487088872 |
|---|---|
| Type | Channel |
| Username | @endofxi |
| Description | 投稿 @xibibibot 投稿方法 https://t.me/endofxi/98162 👻十八国联军👻 https://t.me/endofchina 庆丰包子铺 https://t.me/bao200 |
| Created | 11 March 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/endofxi |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 01:02 | 21,131 | +36 |
| 11 Aug 2026, 04:01 | 21,095 | -3 |
| 10 Aug 2026, 04:50 | 21,098 | +32 |
| 9 Aug 2026, 02:12 | 21,066 | +6 |
| 8 Aug 2026, 01:01 | 21,060 | +20 |
| 6 Aug 2026, 23:27 | 21,040 | +6 |
| 6 Aug 2026, 13:16 | 21,034 | first reading |
Engagement
92 posts held, back to 6 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.711%
- avg views ÷ 21,131 subscribers
- Avg views / post
- 150
- 92 posts measured
- Reaction rate
- 0.445%
- reactions ÷ views · ER floor
- Posts in window
- 92
- of 92 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 10 of 92 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 92 (6 August 2026 – 12 August 2026) |
| Views total | 13,827 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 23:14 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
- ≈160,000
- Videos
- ≈55,500
- Links
- ≈142,000
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
- 16m 05s
- Average length
- 57s
Measured directly from 17 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
8 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 50.0% | |
| 🎉 | 1 | 12.5% | |
| 👍 | 1 | 12.5% | |
| 👏 | 1 | 12.5% | |
| 🔥 | 1 | 12.5% |
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 10 of the 92 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 92 most recent posts we hold, published 6 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
中国开通首条经北极赴欧洲的常态化集装箱航线,航程缩短近一半 8月10日,英国《金融时报》报道,中国航运企业正在开通首条经北极前往欧洲的常态化集装箱航线。 该航线从浙江宁波出发,经俄罗斯控制的北方海航道前往英国费利克斯托港。传统中国至欧洲海运通常需要约40天,而北极航线可将时间缩短近一半,同时避开红海、苏伊士运河等传统航运咽喉。 这条航线去年曾进行首次试航,今年则升级为固定班期,计划在北极通航季实行每周运行。 source
8月10日,台风“白海豚”登陆浙江,临海网友抱怨官方只注重宣传古城防洪,不顾及城外居民的受灾情况。 source
北电学生拍片让“吸烟者”制服防护服人物,当事人称同一幕随后在现实上演 近日,自称北京电影学院研究生的网友“尚萌萌”发布视频和照片称,自己因无法忍受校园二手烟,平时身穿黄色雨衣、佩戴防毒面具和护目镜自保。 其曝光的多段由北电学生拍摄的作品中,一名模仿其装束的角色被塑造成手持道具枪“追杀吸烟者”的反派; 还有“吸烟者”躲在暗处持枪伏击防护服人物。 电影结尾,吸烟者将防护服人物按倒在地。 尚萌萌称,这一情节后来在现实中发生。 2025年10月,他与同伴身穿防护装备在学校外行走时,六名校方人员突然冲出,将其按倒在地,撕下防毒面具和防护服,并拿走手机等个人物品。 现场照片显示,一名身穿黄色防护服的人倒在路边,多名身穿制服或反光背心的人员围在周围。 他还称,自己随后在尚未毕业的情况下被停用入校权限,直至2026年4月舆论发酵后才恢复; 另一段视频显示,其在校园行走时,有四名保卫人员一路跟随。 此前多家媒体曾报道,尚萌萌针对校园室内…
8月12日,中国前总理朱镕基因病医治无效,于11时06分在北京逝世,享年98岁。 source
🎉1👏1
Photo, posted without a caption
Photo, posted without a caption
百花奖被质疑“花纳税人的钱给明星办晚会” 近日,有网友发现,百花奖相关活动由财政资金支持,引发不少网友质疑,高收入明星的颁奖活动为何需要大量公共财政投入,并建议将更多资金用于医保、教师、困难群体等民生领域。 公开政府采购信息显示,第38届大众电影百花奖系列活动一项采购预算达3240万元,采购人为中共北京市委宣传部。 其中开幕式约800万元、颁奖典礼约855万元、安保约671万元。 source
❤1
外甥担任出品人 source
河南七旬瓜农300斤西瓜卖10元:你不种,你干啥?出去打工没人要你。 8月10日,《极昼》报道河南周口西瓜滞销。 当地多个西瓜产区集中上市,收购价跌至近年低点,一名七旬瓜农300多斤西瓜最终只卖了10元,折合每斤约3分钱,只够买两盒最便宜的烟。 报道称,不少瓜农一车西瓜有三分之一因大小、成熟度等标准被淘汰,只能几分钱一斤卖给小贩,甚至直接烂在地里。 一名农妇种了14亩西瓜,仅买瓜苗就花了6000元,目前卖瓜收入却只有4000元。 面对亏损,有瓜农说“伤透了心,明年不想种了”,但村里人反问:“你不种,你干啥?出去打工没人要你。” 报道指出,当地许多五六十岁以上的农民已经很难进入城镇劳动力市场,即便种地亏损,来年仍只能继续“赌一把”。 source
8月10日,官方媒体宣传“中国人真的能飞”“中国航天起源于明朝,比西方早了数百年”,引发网友在评论区集体吐槽。 网民纷纷评论: “天天都在赢,永远都超越西方” “什么时候发现双休?” “有没有双休的赢法” “我这个基本盘都绷不住了” “每日一麻” source
8月10日晚,广东广州天河区天誉花园一期,多名业主在小区内拉起多条横幅,抗议广州美莱医疗美容医院进驻小区商业楼。 现场可见大量横幅悬挂在住宅楼之间,并有工作人员到场。 据此前公开信息,天誉花园居民已就医院的床位设置、医疗废水、环保手续等问题持续维权半年多。 今年6月,官方调查确认,广州美莱此前环评登记床位为18张,而医疗机构执业许可证核定床位为32张。 此后医院将床位调整至32张。 7月24日,广州市生态环境局天河分局又向广州美莱下达《责令改正违法行为决定书》,认定其调整床位后,相关环保设施尚未依法验收便投入使用,责令限期整改。 相关决定于8月3日公开。 source
Showing the 12 most recent of 92 posts we hold for @endofxi. 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 — 600,711 of 1,151,006entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
Appears in Telegram’s recommendations for other channels
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.
@newszg_official · 164,422
Telegram ranks this channel #21 of 52 here — alongside 51 others — read 12 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“☠️三战快报☠️一级战备” (@endofxi), 21,131 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/endofxi.
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.