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Channel

VPN 防帽子

@vpnfangmaozi

On this record: Growth · Engagement · Posts · Citations · Cite this entry

11subscribers

-2 since we began measuring on 6 September 2026

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

Register entry

Telegram ID-1003399291063
TypeChannel
Username@vpnfangmaozi
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 September 2026
Last confirmed live16 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/vpnfangmaozi

Growth

1113126 September 2026 — 13 subscribers9 September 2026 — 12 subscribers14 September 2026 — 12 subscribers16 September 2026 — 11 subscribers6 September 202616 September 2026
4 measurements spanning 10 days, net -2. 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 11–13 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 15:5711-1
14 Sept 2026, 05:2212no change
9 Sept 2026, 06:1812-1
6 Sept 2026, 21:4713first reading

Engagement

20 posts held, back to 24 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
300.0%
avg views ÷ 11 subscribers
Avg views / post
33.0
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 September 2026
Posts held20 (24 June 20266 September 2026)
Views total66
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Sept 2026, 05:22 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.

Recent posts

6 Sept 2026, 06:31 UTC27 viewsread 14 September 2026
Photo

标题:保持心情平和的100个基本 [心理科学] 简介: 这本书用100个简单实用的情绪管理法则,搭配治愈系猫猫插画,帮你摆脱内耗和愤怒循环。从“情绪拆弹”到“关系修复”,教你生气时先默数6秒、给愤怒打分、用感谢拒绝他人、写成功日记积累幸福感,甚至通过穿亮色衣服、午睡15分钟来调节心情。每一页都能找到让情绪平稳落地的方法。

31 Aug 2026, 07:41 UTC39 viewsread 14 September 2026
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标题:被追赶的经济体 [经营管理] 简介: 本书剖析传统经济政策在大衰退及疫后时代的失效。揭示发达经济体政策辩论滞后于时代,过分依赖货币政策,忽视财政政策,加剧不平等。书中通过实例阐明,与黄金时代不同,被追赶时代需要新的政策组合。作者强调解决自由贸易与资本流动脱节,以优化全球化。

23 Aug 2026, 07:20 UTC45 viewsread 14 September 2026
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标题:肿瘤防治科普丛书(套装共13册) [人文社科] 简介: 癌症已成健康头号杀手,逾半数癌症可预防或早期治愈。本书系统介绍从预防、筛查到诊疗、康复的肿瘤防治全链科普知识,以问答形式,用通俗语言和生动插图,化专业知识为大众常识,助民众理解防癌抗癌。

18 Aug 2026, 07:41 UTC43 viewsread 14 September 2026
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标题:狐狸與刺猬:中國知識分子十論 [社會科學] 简介: 本书以“十论”系统梳理中国近现代知识分子的思想脉络与社会角色,从思想史、社会史和心灵史多维视角切入,探讨知识分子在社会转型中的作用、公共性问题及当代困境。新编版融合作者近年新思考,为研究中国知识分子提供了全新范式。

12 Aug 2026, 12:56 UTC44 viewsread 14 September 2026
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标题:英国海上霸权的兴衰 [历史传记] 简介: 本书回顾了大英帝国四百余年的兴衰起伏,详析其称霸海洋、主导世界的基本逻辑。作者结合历史叙事与战略分析,指出英国崛起既凭海权,也靠海陆结合。其海上霸权虽辉煌一时,却因工业革命引发的陆权兴起而逐渐衰落,最终让位于美国。本书的分析有助于洞悉当前世界格局的加速演变。

6 Aug 2026, 08:13 UTC37 viewsread 14 September 2026
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标题:時寒冰說:未來二十年,經濟大趨勢(合集) [閱讀評論] 简介: 本书通过分析中国决策、大國角逐、全球博弈三条主线,系统解答货币超发、股市、房价、大宗商品等经济趋势问题。全书分为“现实篇”与“未来篇”,结合权威数据与历史现实,推导出未来20年的宏观与微观趋势,为投资者和企业家提供决策参考与分析方法。

1 Aug 2026, 08:56 UTC29 viewsread 14 September 2026
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标题:极地竞赛 [历史传记] [pdf+全格式] 简介: 本书揭示了一段南极探险史上被人忽略的历史,也是人类探索南极的早期历史,赞扬了人类探索未知的勇气1838—1842年,鲸油、海豹皮和未知的宝藏吸引了法国、美国和英国的船只前往南极冒险,展开一场事关国家荣誉的南极竞赛。当维多利亚时代的极地探险家们聚集在南半球的高纬度地区时,他们闯入了一个充满敌意的冰川王国。在这里,空间似乎没有尽头,时间如同静止。“南极”既代表了一片大陆,也代表了一片海洋,同时也是人类极限中一个难以言喻的概念。这是一条没有出路的致命航路,也是人类勇气和毅力的无上证明。他们的船从浩瀚的时空之网中穿梭而过,驶向一个纯粹而冷酷的机会世界。

28 Jul 2026, 13:27 UTC23 viewsread 14 September 2026
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标题:改变人生的早起习惯养成 [励志成功] 简介: 《無痛早起,人生無敵!》提供33个实用早起诀窍,帮助读者轻松养成早起习惯。书中结合心理学与作者亲身经验,教你如何提高效率、改善睡眠、设计晨间仪式,从而提升生活品质与成就感。适合早起困难户、拖延症患者及渴望改变生活的人。

26 Jul 2026, 05:47 UTC20 viewsread 14 September 2026
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标题:欧阳修传 [历史传记] 简介: 欧阳修是北宋文学巨擘,出身贫寒却以文才入仕,历经政坛起伏,终成文坛领袖。他主持1057年科举,提拔苏轼等名家,成就北宋文化辉煌。其一生坚持原则,诗文传世,展现高贵品格与精神。

21 Jul 2026, 09:27 UTC17 viewsread 14 September 2026
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标题:不做告别 [小说文学] 简介: 作家庆荷受噩梦困扰,前往济州岛照顾病中的摄影师朋友仁善。在那里,她偶然窥见仁善家族七十年前亲历济州岛大屠杀的悲惨往事:父母离散,家人骤逝,母亲历经数十载寻兄的艰难抗争。庆荷在暴风雪中,感受着黑暗中的思念与伤痛。

Showing the 12 most recent of 20 posts we hold for @vpnfangmaozi. 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.

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“VPN 防帽子” (@vpnfangmaozi), 11 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/vpnfangmaozi.

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.