这个图清楚点 P1来源 https://twitter.com/jakobsonradical/status/1580437581396725760

Channel
魔法學院
@Xxwn_MF
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
16subscribers
+0 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001142363771 |
|---|---|
| Type | Channel |
| Username | @Xxwn_MF |
| Description | |小熊維尼| |膜法大師| |病態世界| |魔幻現實| 從頂部查看: t.me/Xxwn_MF/769 *頻道索引: @Cottagediary_index |
| Created | Between 1 June 2017 and 31 August 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Xxwn_MF |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 21:30 | 16 | no change |
| 11 Aug 2026, 07:15 | 16 | first reading |
Engagement
9 posts held, back to 21 July 2022 — the 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 9 posts for this entry, the most recent from 18 November 2022. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- ≈1,400
- Videos
- ≈112
- Links
- ≈509
Lifetime counters from Telegram’s own channel header, read 11 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.
Recent posts
北京海淀四通桥上10月13日出现针对领导人习近平及中国防疫政策的抗议横幅。社交媒体流传的画面显示,一条横幅上写着“不要核酸要吃饭,不要封控要自由,不要谎言要尊严,不要文革要改革,不要领袖要选票,不做奴才做公民”,另一条短横幅上则写“罢课罢工罢免独裁国贼习近平”。多条从不同角度拍摄的视频显示,一名男子在桥上燃烧物品,并通过扩音器高呼口号。 警车消防车后到达现场扑灭燃烧物撤下横幅。在微博上检索“四通桥”仅显示两条官方账号在一年前发布的内容。许多中国网民在社交媒体表示,自己因在微信和微博上分享了事件相关图片导致账号被封。名为《四通桥》的歌曲当天晚些时候也无法在音乐应用中查看。 彭博社记者在事发后来到四通桥,在桥面看到了燃烧的痕迹。BBC记者当天下午16时左右来到现场,看到附近警力部署明显增多。美联社记者看到,数十名警方在该地区巡逻,有时还会拦下行人询问情况。警方否认了该地区发生任何异常情况。美联社记者询问的三家店主否认看到横幅、烟雾等…
中共二十大召开之前,反映西北底层农民生存状况的影片《隐入尘烟》被全网下架。 有网友认为,这是一部媲美余华的小说《活着》的现实主义题材佳作。但也有人质疑,影片在公然挑战中国脱贫攻坚的成果,别有用心。 https://bit.ly/3UM6sLx
这是可以说的吗
回答紫禁城的网友杀死了比赛,也杀死了这条微博
via 匿名
Photo, posted without a caption
Photo, posted without a caption
https://m.weibo.cn/3052673961/4793270352483623 郑州7.20特大暴雨一周年[蜡烛]
Showing the 9 most recent of 9 posts we hold for @Xxwn_MF. 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 — 939,816 of 1,160,990entries 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“魔法學院” (@Xxwn_MF), 16 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Xxwn_MF.
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.