✖️ 李老师不是你老师 中国政府的另一场抢险动员:报道话语权 9月1日,《对话》发表研究文章称,尼藏边境洪灾发生后,中国政府的信息管控方式引发国际舆论争议。 BBC中国报道记者称,吉隆口岸遭洪水吞噬的视频在微信和小红书上遭到删除,外国及独立记者亦被拒于西藏灾区门外,无法独立核实伤亡数字。

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
21,420subscribers
+386 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 |
| Created | 11 March 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/endofxi |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 17:35 | 21,420 | +22 |
| 6 Sept 2026, 11:57 | 21,398 | +10 |
| 4 Sept 2026, 02:18 | 21,388 | -1 |
| 2 Sept 2026, 18:45 | 21,389 | -9 |
| 1 Sept 2026, 14:34 | 21,398 | +11 |
| 31 Aug 2026, 14:58 | 21,387 | +7 |
| 30 Aug 2026, 17:33 | 21,380 | -2 |
| 29 Aug 2026, 20:42 | 21,382 | +14 |
| 28 Aug 2026, 19:47 | 21,368 | +11 |
| 26 Aug 2026, 13:58 | 21,357 | +31 |
| 25 Aug 2026, 10:45 | 21,326 | -2 |
| 24 Aug 2026, 11:34 | 21,328 | -4 |
| 22 Aug 2026, 20:35 | 21,332 | -2 |
| 21 Aug 2026, 11:45 | 21,334 | +50 |
| 20 Aug 2026, 12:04 | 21,284 | +3 |
| 19 Aug 2026, 14:43 | 21,281 | +30 |
| 18 Aug 2026, 12:02 | 21,251 | -3 |
| 17 Aug 2026, 11:15 | 21,254 | +28 |
| 15 Aug 2026, 19:52 | 21,226 | +54 |
| 14 Aug 2026, 09:35 | 21,172 | first reading |
Engagement
313 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.655%
- avg views ÷ 21,420 subscribers
- Avg views / post
- 140
- 246 posts measured
- Reaction rate
- 0.315%
- reactions ÷ views · ER floor
- Posts in window
- 246
- of 313 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 32 of 246 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 313 (6 August 2026 – 3 September 2026) |
| Views total | 34,525 |
| Reactions total | 32 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 16:06 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 18m
- Average length
- 1m 13s
Measured directly from 64 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
37 reactions across 29 posts, in 9 distinct kinds. The most used accounts for 75.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 75.7% | |
| 👍 | 2 | 5.41% | |
| 🎉 | 1 | 2.70% | |
| 👏 | 1 | 2.70% | |
| 🔥 | 1 | 2.70% | |
| 🖕 | 1 | 2.70% | |
| 😁 | 1 | 2.70% | |
| 🤨 | 1 | 2.70% | |
| 🤪 | 1 | 2.70% |
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 40 of the 313 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 37 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 313 most recent posts we hold, published 6 August 2026 to 3 September 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
✖️ 李老师不是你老师 9月3日,河南长垣博爱小学,因不满教学环境及配套设施未达标,多名家长前往校门口拉横幅维权抗议。 据家长反映,该校一年级共11个班,开学前一天仍在赶工施工。校内教室未安装空调和电扇,亦无窗帘,导致阳光直射反光黑板、室内闷热,有学生出现流鼻血、衣服湿透等情况。
✖️ 李老师不是你老师 “杜绝‘告洋状’乱象,国家应尽快立法将告洋状纳入扫黑除恶范围” 9月1日,公众号“第一百四十八条规定”发文《杜绝“告洋状”乱象|国家应尽快立法将告洋状纳入扫黑除恶范围》引发网友讨伐。 文中写道:
✖️ 李老师不是你老师 ‘某东方大国’曾要求乌克兰暂停对符拉迪沃斯托克方向的袭击 9月1日,乌克兰总统泽连斯基透露,美国此前曾要求乌方于8月25日至27日暂停对莫斯科和圣彼得堡方向的打击,乌克兰照做。 他同时称,另一个未具名的“全球大国”也曾要求乌方在特定时间暂停对符拉迪沃斯托克方向的袭击,乌方同样同意。
✖️ 李老师不是你老师 河南一高校征集校园节目:全程禁止出现外文歌词、台词 9月2日,一份(疑似河南平顶山学院的)校园节目征集通知引发关注。 通知要求节目内容“积极向上、健康阳光”,选曲需“昂扬正能量”,并特别规定:“节目全程禁止出现外文歌词、台词等。”
✖️ 李老师不是你老师 网友投稿:辽宁抚顺市公务员工资多次被拖欠,8月份仅发放“三保”要求的基本工资,津贴、社保、公积金等长期延期发放。
✖️ 李老师不是你老师 网友投稿:
✖️ 李老师不是你老师 发放爱心餐被举报 8月31日,两男子在北京某医院门口向病人及家属免费发放自制爱心餐,随后遭人举报,民警到现场调查后要求终止爱心餐发放活动。事后发放爱心餐的其中一位男子表示自己“气得哆嗦,你说你图什么?”博主视频显示此前发放爱心餐的活动也遇到过城管要求停止。
😁1
✖️ 李老师不是你老师 网友投稿:河南退伍军人退役安置被以“考试”“培训”为由,分流至三产企业,未获得央企编制。
✖️ 李老师不是你老师 8月29日,一段网友制作的历史讽刺视频在中文网络流传。 视频将“如果你觉得这里不好,就去建设它”“你怎么样,国家就怎么样”等熟悉话术,分别套在秦朝、元朝、明朝、清朝、法国旧制度、印度种姓制度以及“天庭”等历史或虚构场景中。
✖️ 李老师不是你老师 外籍个人分红,今天起不再免税 9月1日,财政部、国家税务总局联合发布公告,从当日起,外籍个人从外商投资企业取得的股息红利所得,不再免征个人所得税,按照20%税率缴纳个人所得税。
✖️ 李老师不是你老师 8月29日,一网友发布长文《是谁救了那些孤儿?——〈龙餐馆〉遮蔽的真正英雄》,考证电影《欢迎来龙餐馆》背后的真实人物经历。 文章指出,影片原型之一刘磊此前接受九派新闻采访时曾表示,他和帅学军赴伊拉克经营“中国龙”餐馆,主要目的是做美军和外国人生意赚钱。
Showing the 12 most recent of 313 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
@voachinese · 34,644
Telegram ranks this channel #14 of 63 here — alongside 62 others — read 3 September 2026
@times001 · 84,956
Telegram ranks this channel #18 of 66 here — alongside 65 others — read 18 August 2026
@newszg_official · 163,865
Telegram ranks this channel #21 of 52 here — alongside 51 others — read 12 August 2026
@XueXi_China · 87,368
Telegram ranks this channel #28 of 48 here — alongside 47 others — read 17 August 2026
@pelosi3 · 70,632
Telegram ranks this channel #31 of 51 here — alongside 50 others — read 20 August 2026
@TwtVideoOfChina · 74,085
Telegram ranks this channel #42 of 54 here — alongside 53 others — read 20 August 2026
This channel appears in 6 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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“☠️三战快报☠️一级战备” (@endofxi), 21,420 subscribers as measured 9 September 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.