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Channel

☠️三战快报☠️一级战备

@endofxi

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

21,774subscribers

+740 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
TypeChannel
Username@endofxi
Created11 March 2020 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live25 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/endofxi

Topic

National news — 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 94% 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

21,03421,77421,4046 August 2026 — 21,034 subscribers6 August 2026 — 21,040 subscribers8 August 2026 — 21,060 subscribers9 August 2026 — 21,066 subscribers10 August 2026 — 21,098 subscribers11 August 2026 — 21,095 subscribers12 August 2026 — 21,131 subscribers13 August 2026 — 21,146 subscribers14 August 2026 — 21,172 subscribers15 August 2026 — 21,226 subscribers17 August 2026 — 21,254 subscribers18 August 2026 — 21,251 subscribers19 August 2026 — 21,281 subscribers20 August 2026 — 21,284 subscribers21 August 2026 — 21,334 subscribers22 August 2026 — 21,332 subscribers24 August 2026 — 21,328 subscribers25 August 2026 — 21,326 subscribers26 August 2026 — 21,357 subscribers28 August 2026 — 21,368 subscribers29 August 2026 — 21,382 subscribers30 August 2026 — 21,380 subscribers31 August 2026 — 21,387 subscribers1 September 2026 — 21,398 subscribers2 September 2026 — 21,389 subscribers4 September 2026 — 21,388 subscribers6 September 2026 — 21,398 subscribers9 September 2026 — 21,420 subscribers11 September 2026 — 21,405 subscribers13 September 2026 — 21,393 subscribers15 September 2026 — 21,436 subscribers17 September 2026 — 21,448 subscribers19 September 2026 — 21,476 subscribers26 September 2026 — 21,592 subscribers4 October 2026 — 21,694 subscribers9 October 2026 — 21,710 subscribers13 October 2026 — 21,733 subscribers14 October 2026 — 21,726 subscribers15 October 2026 — 21,723 subscribers16 October 2026 — 21,715 subscribers17 October 2026 — 21,735 subscribers18 October 2026 — 21,745 subscribers19 October 2026 — 21,757 subscribers20 October 2026 — 21,760 subscribers22 October 2026 — 21,758 subscribers23 October 2026 — 21,764 subscribers24 October 2026 — 21,757 subscribers25 October 2026 — 21,774 subscribers6 August 202625 October 2026
48 measurements spanning 80 days, net +740. 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 20,923–21,885 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
25 Oct 2026, 04:3121,774+17
24 Oct 2026, 04:3921,757-7
23 Oct 2026, 03:4021,764+6
22 Oct 2026, 04:0621,758-2
20 Oct 2026, 19:2821,760+3
19 Oct 2026, 20:2021,757+12
18 Oct 2026, 17:5721,745+10
17 Oct 2026, 18:5821,735+20
16 Oct 2026, 16:0521,715-8
15 Oct 2026, 17:5021,723-3
14 Oct 2026, 19:5721,726-7
13 Oct 2026, 09:5621,733+23
9 Oct 2026, 04:0121,710+16
4 Oct 2026, 17:3721,694+102
26 Sept 2026, 17:0121,592+116
19 Sept 2026, 17:4121,476+28
17 Sept 2026, 06:0121,448+12
15 Sept 2026, 08:0221,436+43
13 Sept 2026, 16:4021,393-12
11 Sept 2026, 23:4021,405first reading

Engagement

411 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 68 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.422%
avg views ÷ 21,774 subscribers
Avg views / post
91.8
98 posts measured
Reaction rate
0.505%
reactions ÷ views · ER floor
Posts in window
98
of 411 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 6 of 98 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 October 2026
Posts held411 (6 August 2026 – 12 October 2026)
Views total8,996
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 10:57 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

Video runtime
1h 25m
Average length
1m 09s

Measured directly from 74 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

41 reactions across 33 posts, in 9 distinct kinds. The most used accounts for 78.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3278.0%
👍24.88%
🎉12.44%
👏12.44%
🔥12.44%
🖕12.44%
😁12.44%
🤨12.44%
🤪12.44%

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 46 of the 411 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 41 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 411 most recent posts we hold, published 6 August 2026 to 12 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

12 Oct 2026, 09:48 UTC51 viewsread 12 October 2026
Photo

✖️ 李老师不是你老师 网友晒教材对比:《独立宣言》节选不再引用人民改变或废除政府的权利 近日,一位小红书网友晒出九年级上册世界历史《美国的独立》一课的新旧教材对比:旧选文中,政府正当权力来自被统治者同意、人民有权改变或废除损害其权利的政府等内容,在图中标为“新教材”的节选中不再出现。 新节选仍保留“人人生而平等”及生命、自由和追求幸福的权利,随后以省略号衔接殖民地宣告独立、解除对英王隶属关系的段落。 评论区有人调侃: “怕学生用旧教材选段做合订本。” “就怕你觉醒” --------- 🤖 Mad AI Bot — your personal AI assistant, image generator and editor.

12 Oct 2026, 09:48 UTC31 viewsread 12 October 2026
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✖️ 李老师不是你老师 扶贫项目获补贴超3700万元却荒废,工作人员称仍有补贴 10月11日,央视《财经调查》曝光,吉林松原“乾安—寿光反季节蔬菜示范区”绝大部分大棚闲置,部分土棚六年未种。 该项目2019至2021年以脱贫攻坚项目、财政专项扶贫资金等名义获各级补贴超3700万元,工作人员却称:“三百多个棚子都有补贴。” 园区如今只剩十来人,有人参观就插彩旗、人走便收回。大棚占用近千亩永久基本农田,恢复耕种又面临土地平整资金难题。 国家发改委2019年曾推广乾安县示范园的经验,介绍博瑞公司带动农民增收的做法;吉林省政府网站2023年2月还报道称,博瑞园区有150余名工人,每天都是“丰收季”。

12 Oct 2026, 09:48 UTC29 viewsread 12 October 2026
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✖️ 李老师不是你老师 200万粉丝女装店标注“狸花猫背部毛皮” 10月10日,拥有200多万粉丝的淘宝女装店CHICYOU被网友发现,毛领商品页标注“100%狸花猫猫毛皮”,工艺介绍写明使用狸花猫背部毛皮,还描述“本色不染色”“底绒密实”。 店方当晚致歉,承认棕黄色毛领样品被检出猫毛皮,但称采购要求是狐狸毛,工厂供料与订单不符,内部审核也存在疏漏;涉事产品尚未正式开售、未产生订单。 店方强调在舆情发酵前已下架。但10月11日,红星新闻记者追问后台上下架记录时,客服称无法显示相关记录,未予提供。店方声明也未交代猫皮原料来源。

12 Oct 2026, 09:48 UTC29 viewsread 12 October 2026
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✖️ 李老师不是你老师 一条6块钱的避雷差评,一位母亲被网暴轻生 9月6日,宜宾高县胡二妹铜锅洋芋,一位顾客点了一份6块钱的炸土豆,因不满摊主加土豆太少而在网上发布“避雷视频”进行差评,引发网友对摊主的网暴。 摊主有两个孩子,摆摊卖炸洋芋已经4年多,表示自己勤勤恳恳,生活努力,对顾客非常客气,加菜尽量多不会少,却无端遭受网络暴力,生活压力本来就非常大,谋生艰难,最终在不堪重压之下跳河轻生。 事件发生后,网友纷纷表达惋惜之情,并对引发对“胡二妹铜锅洋芋”差评网暴的网友表示愤怒。 一位网友评论道:很遗憾用这样的方式认识你,希望你下辈子过得开开心心。

12 Oct 2026, 09:48 UTC34 viewsread 12 October 2026
Photo

✖️ 李老师不是你老师 --------- 🔀 Routify — auto-forward messages between Telegram chats.

12 Oct 2026, 09:04 UTC61 viewsread 12 October 2026

✖️ CNC热点 https://22.chinanewscenter.com/archives/11039

12 Oct 2026, 09:04 UTC59 viewsread 12 October 2026

✖️ CNC热点 长春围城,共产党屠杀六十万百姓!实际上应该称“长春大屠杀”! 以后本站为其正名:长春大屠杀!

12 Oct 2026, 09:04 UTC59 viewsread 12 October 2026

✖️ CNC热点 中国最坏的坏种是毛泽东和陈云!中共最怕人知道的秘密 -- 长春大屠杀

11 Oct 2026, 17:47 UTC83 views1 reactionsread 11 October 2026
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✖️ 李老师不是你老师 10月11日,据《日经亚洲》报道,阿富汗开通了中国通往波斯湾的潜在贸易路线,该路线要穿过瓦罕走廊。 一位西方外交官告诉《日经亚洲》:“如果瓦罕过境路线全面开通,将为北京提供一条进入波斯湾的替代路线。这一切都取决于阿富汗的安全局势。” 伊斯兰堡智库“研究与安全研究中心”执行主任对《日经亚洲》:“对中国而言,安全仍然至关重要,除非喀布尔对东突厥斯坦伊斯兰运动采取切实、可核查的措施,否则中国很可能不会通过瓦罕地区向阿富汗敞开贸易大门。” --------- 🔀 Routify — auto-forward messages between Telegram chats.

❤1

11 Oct 2026, 17:47 UTC75 viewsread 11 October 2026
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✖️ 李老师不是你老师 10月10日,据《日经亚洲》报道,作为中国曾经市值最高的股票,贵州茅台如今股价较其峰值下跌了43%。 截至9月底,贵州茅台市值为1.57万亿元人民币(约合2340亿美元)。 报道指出,茅台衰落的最大因素是中国经济放缓。尤其在2020年后,茅台开始走下坡路,当时中国收紧了房地产监管。随着房价开始下跌,富裕人士在投资高档酒类方面变得更加谨慎。 报道还称2025年5月,中国领导层收紧了对铺张浪费的监管,作为反腐运动的一部分,也对茅台消费者需求造成了重大打击。

11 Oct 2026, 17:47 UTC59 viewsread 11 October 2026
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✖️ 李老师不是你老师 太原理工校招人员称“留学生不行”:“宁可不要也不想犯错” 近日,一网友上传一段太原理工校招现场,招聘摊位人员确认对方来自国外学校后,直接回答:“国外学校不行啊。”对方追问:“QS前十都不要啊?” 招聘人员随后谈到留学生家庭的“社会背景”和“外资资助”等顾虑,称单位承担很多国家专项任务,“宁可不要也不想犯错”。 目前该视频已下架。

Showing the 12 most recent of 411 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.

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 2 registered channels — 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.

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.

Channels Telegram recommends alongside this one

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.

学习墙国🐸
@XueXi_China · 86,646
#1
电报时报
@times001 · 84,452
#2
🥗 视讯快报~密接巨变时代
@shixun160 · 22,775
#3
知乎暴论
@mightyflame · 25,597
#4
軍事頻道
@warmilitary · 4,463
#5
敏感经济信息分享
@pelosi3 · 72,008
#6
军事消息
@ww3ch · 9,318
#7
Ruters乳透社🐻
@Ruters0615 · 25,250
#8
竹新社
@tnews365 · 165,449
#9
墙国之音
@chinafounder · 14,671
#10
美国之音
@voachinese · 41,526
#11
中国梦
@CHlNA011 · 1,923
#12
华人资讯|疫苗真相
@xingchen0829 · 7,343
#13
Call Voter
@CallVoter · 2,281
#14
寶島台灣
@Taiwannews1101218 · 3,839
#15
【李老师不是你老师】官方电报
@lilaoshibushinilaoshi · 48,932
#16
在花🎗️科技圈
@zaihuapd · 287,007
#17
RFI 华语 - 法国国际广播电台
@RFI_Cn · 7,450
#18
路德時評音檔
@LudeMediaMP3 · 941
#19
方舟子
@fangshimin · 15,947
#20
Iyouport
@iyouport · 27,638
#21
美政经杂汇
@antiTrumpTopic · 490
#22
人民報
@renminbao1 · 2,691
#23
冲破矩阵
@RidingWaveWithQ · 6,638
#24
你本該知道
@nbgzd · 10,307
#25
西行小宝
@ruldophwest17 · 15,386
#26
LoopDNS资讯播报
@DNSPODT · 72,814
#27
俄罗斯资讯参考频道
@JShangrong · 24,315
#28
404通訊|The CCP-China Watch #资讯 #新闻 #时政 #反賊 #覺醒
@chinaupdate · 6,218
#29
「VoP」維尼之聲 - Voice of Pooh🔊
@VoiceofPooh · 22,292
#30
某科学的一个频道
@titan_pain · 20,794
#31
风向旗参考快讯
@xhqcankao · 165,967
#32
Mandark個人倉庫
@Mandark_5678 · 4,714
#33
华夏画报
@luojisw001 · 3,717
#34
平壤卫视
@pingrangTV · 29,317
#35
螺莉莉的黑板报
@im_RORIRI · 3,964
#36
Free•News
@NFSCHimalayaNews · 9,347
#37
月读
@yuedu · 4,892
#38
Karen医生の日常
@KarenMoeMoe · 9,368
#39
推特高雅壬與菟子
@ttsmr · 1,968
#40
简中互联网废物大赏
@fucku_idiot · 41,265
#41
龙潭誌异
@dragonsden2k · 2,526
#42
「Vop」維聲-奶茶同萌
@VoPMilkTea · 1,842
#43
老照片
@record_history · 1,106
#44
心灵魔法站
@personal_hub · 11,576
#45
疫苗副作用频道
@myym6886 · 2,548
#46
歐洲動態(國際)
@europechinese · 7,137
#47
中国数字时代
@cdtchinesefeed · 51,183
#48
NFW
@NewsFW · 6,809
#49

Read from Telegram’s recommendation API, most recently 23 September 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.

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.

🥗 视讯快报~密接巨变时代
@shixun160 · 22,775
Telegram ranks this channel #5 of 60 here — alongside 59 others — read 19 September 2026
Ruters乳透社🐻
@Ruters0615 · 25,250
Telegram ranks this channel #11 of 40 here — alongside 39 others — read 14 September 2026
美国之音
@voachinese · 41,526
Telegram ranks this channel #14 of 63 here — alongside 62 others — read 3 September 2026
电报时报
@times001 · 84,452
Telegram ranks this channel #18 of 66 here — alongside 65 others — read 18 August 2026
中国悲剧档案官方频道
@newszg_official · 158,468
Telegram ranks this channel #21 of 52 here — alongside 51 others — read 12 August 2026
「VoP」維尼之聲 - Voice of Pooh🔊
@VoiceofPooh · 22,292
Telegram ranks this channel #28 of 53 here — alongside 52 others — read 20 September 2026
俄罗斯资讯参考频道
@JShangrong · 24,315
Telegram ranks this channel #28 of 60 here — alongside 59 others — read 15 September 2026
学习墙国🐸
@XueXi_China · 86,646
Telegram ranks this channel #28 of 48 here — alongside 47 others — read 17 August 2026
敏感经济信息分享
@pelosi3 · 72,008
Telegram ranks this channel #31 of 51 here — alongside 50 others — read 20 August 2026
影音中国(中国被禁的视频)
@TwtVideoOfChina · 77,280
Telegram ranks this channel #42 of 54 here — alongside 53 others — read 20 August 2026
777文宣傳播稿件大合集
@hkposter777 · 22,491
Telegram ranks this channel #75 of 78 here — alongside 77 others — read 20 September 2026

This channel appears in 11 seed channels' Telegram-generated recommendation lists 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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“☠️三战快报☠️一级战备” (@endofxi), 21,774 subscribers as measured 25 October 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.