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Channel

隐私中国 Dark Web Inform

@CN_Privacy

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

17,114subscribers

+560 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-1001291783563
TypeChannel
Username@CN_Privacy
Description联系方式 | Contact information: @Privacy_CNbot 关联词:隐私,交易,数据,翻墙,CVV,黑产,灰产,博彩,查询,查档,查开房,查同住,交易,数据,中文,TG,SSR,微信,支付宝,资源,科技,IT,黑客,户籍,定位,身份证,手机号,匿名,四件套
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/CN_Privacy

Topic

Technology — 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 72% 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 the other topics.

Growth

16,55417,11416,8346 August 2026 — 16,554 subscribers7 August 2026 — 16,557 subscribers8 August 2026 — 16,567 subscribers9 August 2026 — 16,575 subscribers11 August 2026 — 16,591 subscribers11 August 2026 — 16,600 subscribers13 August 2026 — 16,612 subscribers14 August 2026 — 16,623 subscribers16 August 2026 — 16,628 subscribers17 August 2026 — 16,745 subscribers18 August 2026 — 16,768 subscribers19 August 2026 — 16,766 subscribers20 August 2026 — 16,777 subscribers21 August 2026 — 16,783 subscribers23 August 2026 — 16,789 subscribers24 August 2026 — 16,786 subscribers25 August 2026 — 16,784 subscribers27 August 2026 — 16,777 subscribers28 August 2026 — 16,779 subscribers29 August 2026 — 16,773 subscribers30 August 2026 — 16,768 subscribers31 August 2026 — 16,762 subscribers1 September 2026 — 16,753 subscribers2 September 2026 — 16,747 subscribers3 September 2026 — 16,739 subscribers6 September 2026 — 16,728 subscribers9 September 2026 — 16,723 subscribers11 September 2026 — 16,707 subscribers13 September 2026 — 16,708 subscribers15 September 2026 — 16,703 subscribers17 September 2026 — 16,725 subscribers19 September 2026 — 16,720 subscribers26 September 2026 — 16,727 subscribers4 October 2026 — 16,733 subscribers9 October 2026 — 16,717 subscribers13 October 2026 — 16,708 subscribers14 October 2026 — 16,704 subscribers15 October 2026 — 16,697 subscribers16 October 2026 — 16,694 subscribers19 October 2026 — 16,688 subscribers19 October 2026 — 16,693 subscribers21 October 2026 — 16,692 subscribers22 October 2026 — 16,694 subscribers23 October 2026 — 16,691 subscribers24 October 2026 — 16,717 subscribers25 October 2026 — 16,787 subscribers26 October 2026 — 16,793 subscribers27 October 2026 — 16,798 subscribers28 October 2026 — 16,800 subscribers29 October 2026 — 16,818 subscribers30 October 2026 — 16,833 subscribers31 October 2026 — 16,875 subscribers1 November 2026 — 16,895 subscribers2 November 2026 — 16,924 subscribers3 November 2026 — 16,962 subscribers3 November 2026 — 17,027 subscribers4 November 2026 — 17,091 subscribers6 November 2026 — 17,109 subscribers7 November 2026 — 17,114 subscribers6 August 20267 November 2026
59 measurements spanning 92 days, net +560. 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 16,470–17,198 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
7 Nov 2026, 04:1917,114+5
6 Nov 2026, 02:1817,109+18
4 Nov 2026, 22:2717,091+64
3 Nov 2026, 22:4417,027+65
3 Nov 2026, 00:4816,962+38
2 Nov 2026, 02:4816,924+29
1 Nov 2026, 05:5916,895+20
31 Oct 2026, 07:3816,875+42
30 Oct 2026, 06:0116,833+15
29 Oct 2026, 06:4416,818+18
28 Oct 2026, 04:5516,800+2
27 Oct 2026, 05:3016,798+5
26 Oct 2026, 02:0816,793+6
25 Oct 2026, 04:4816,787+70
24 Oct 2026, 06:0616,717+26
23 Oct 2026, 02:5716,691-3
22 Oct 2026, 06:0516,694+2
21 Oct 2026, 03:0416,692-1
19 Oct 2026, 22:0716,693+5
19 Oct 2026, 01:4016,688first reading

Engagement

23 posts held, back to 12 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.6%
avg views ÷ 17,114 subscribers
Avg views / post
3,870
1 post measured
Reaction rate
1.68%
reactions ÷ views · ER floor
Posts in window
1
of 23 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 28 October 2026
Posts held23 (12 August 2025 – 28 October 2026)
Views total3,870
Reactions total65
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 04:24 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
Videos
10
Links
146

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

1,796 reactions across 23 posts, in 28 distinct kinds. The most used accounts for 18.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁32918.3%
🤡32017.8%
❤28215.7%
💩19510.9%
😱1458.07%
👍844.68%
🤣814.51%
🖕633.51%
🫡583.23%
🤮573.17%
👏392.17%
🎉311.73%
😨281.56%
🤨221.22%
👎181.00%
😡90.501%
🤯80.445%
🤬50.278%
🥰40.223%
🍾30.167%
8 further kinds150.835%

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 23 of the 23 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 1,796 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 12 August 2025 to 28 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
2
of 23 we hold a reading for · 9%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CN_Privacy. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 23 most recent posts we hold for this entry, published 12 August 2025 to 28 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 1 post held from the last 30 days (100.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

28 Oct 2026, 10:17 UTC≈3,870 views65 reactionsread 7 November 2026

禁用传感器也没用?百度网盘“摇一摇”广告仍会跳转 苹果在 iOS 27.2 中面向中国大陆区账号上线“限制动作数据”功能,用户可以禁止指定 App 获取加速度计、陀螺仪等运动数据,原本被认为可以从系统层面解决令人烦恼的“摇一摇”广告跳转问题。 不过有网友发现,这项限制似乎并非对所有 App 都有效。V2EX网友实测称,将百度网盘加入“限制动作数据”名单后,开屏广告依然可能发生跳转。 按正常逻辑,在无法读取运动传感器数据的情况下,App 应该无法判断用户是否摇晃了手机。对此,有网友猜测,部分广告可能并非完全依赖传感器触发,而是存在延迟或其他跳转机制,例如达到一定时间后自动执行跳转。不过目前这一说法仅为网友推测,尚无证据证明百度网盘具体采用了哪种实现方式。 最终,该网友通过百度网盘“我的 → 设置 → 隐私与个性化设置 → 个性化管理 → 广告兴趣管理”,关闭“允许展现开屏摇一摇广告”后解决了问题。 需要注意的是,苹果提供…

😨28🤮13🖕8❤7👍5😁4

21 Sept 2026, 02:20 UTC≈12,700 views31 reactionsread 7 November 2026

号称只看不动”的加密看盘 App 被曝藏木马:可跨应用窃取 iPhone 钱包私钥 一款号称只读取公开链上数据的加密货币看盘应用 FomoPeek,被曝在安装包中植入了针对 iOS 的恶意攻击模块,可绕过系统沙盒并尝试读取其他应用中的私钥、助记词等敏感数据。 慢雾与 OKX 安全团队 9 月 19 日联合分析确认,FomoPeek 1.1 至 1.2 版本包含与正常业务无关的恶意模块,其中集成了一套 iOS 内核漏洞利用框架,包含 8 种攻击方式,可根据设备型号和系统版本自动选择利用路径。调查涉及的系统范围包括 iOS 12.0~18.7 以及 iOS 26.0~26.1。 一旦漏洞利用成功,恶意代码可能突破 iOS 应用沙盒,访问或解密部分 Keychain 数据,并读取其他应用保存的文件,从而导致私钥、助记词、登录凭据等敏感信息泄露。研究人员还发现,FomoPeek 会连接与其公开业务无关的服务器,并支持接收远程配置和…

❤19👏4😁4😡3👍1

17 Sept 2026, 13:12 UTC≈12,800 views41 reactionsread 7 November 2026

苹果 iOS 27.2 测试版加入“覆盖存储”:彻底覆写闪存,或为中国市场独占 苹果在 iOS 27.2 Beta 1 中加入了一项名为“覆盖存储”的新选项,可在用户抹除设备数据时,对整个存储空间写入大量空白数据,以进一步降低数据被恢复的可能性。 与普通抹除相比,“覆盖存储”会对包括未使用空间在内的存储区域进行覆写,因此耗时更长,同时可能增加闪存写入量并影响存储芯片寿命。苹果也在相关提示中明确说明,该操作比标准抹除需要更长时间。 从目前发现的代码来看,这项功能未来可能覆盖 iOS、iPadOS、watchOS、visionOS 以及 HomePod 等设备,并可能主要面向中国市场。外界推测,这与即将在 2027 年 1 月 1 日实施的中国强制性国家标准 GB 46864-2025 有关。该标准针对电子设备二手交易、回收等场景提出更完善的数据清除要求,以降低用户隐私泄露风险。 不过,对于采用硬件加密的苹果设备而言,普通抹…

👏33❤5🤡2😁1

20 Apr 2026, 16:22 UTC≈40,300 views56 reactions1 Starread 7 November 2026

安全研究者揭露 AI 应用潜在“后门”机制,引发隐私争议 2026 年 4 月,专注隐私与网络安全的研究者 Alexander Hanff 发布调查文章,指控 AI 公司 Anthropic 的桌面应用 Claude Desktop 在用户不知情的情况下,向多款基于 Chromium 的浏览器写入配置文件,从而预先启用一种高权限通信机制,引发广泛关注。 根据披露,这些配置文件属于浏览器的 Native Messaging 功能。该机制允许浏览器扩展调用本地程序运行,而这些程序不受浏览器沙箱限制,拥有与用户相同的系统权限。按常规流程,用户需明确授权后才能建立此类连接。但 Hanff 发现,Claude Desktop 在安装或运行过程中已自动写入相关配置文件,并预授权多个扩展 ID,使其可直接调用本地程序。 调查显示,该行为不仅影响已安装的浏览器,还会在未安装的浏览器目录中提前创建配置路径并写入文件,涉及 Chrome、Ed…

😱28❤27😡1

6 Feb 2026, 00:11 UTC≈42,200 views188 reactionsread 7 November 2026

迅雷被曝劫持下载内容:官方 ISO 镜像被替换为捆绑软件的第三方版本 近日,有 B 站网友 @GTX690战术核显卡导弹 发布视频称,在使用 迅雷 下载 Windows 10 等系统 ISO 镜像时,实际获得的文件并非微软官方原版,而是被自动替换为第三方封装镜像,内含大量预装和捆绑软件。 测试显示,迅雷并未校验具体下载源地址,而是仅根据文件名进行识别和替换。即便原始下载链接不存在,迅雷仍可向用户提供所谓的“替代文件”。被替换的镜像中默认捆绑安装 360 浏览器、双核浏览器、WPS、QQ 游戏、夸克等软件,部分浏览器还被锁定广告导航页面。 在下载界面中,这类被替换文件通常被标注为“AI 增强版”,但该提示并不明显,普通用户难以据此判断异常。由于文件并非来自原始发布方,其哈希值与官方镜像必然不一致,只有在用户主动校验校验值时才能发现问题。 安全人士指出,这种行为已不属于简单的“加速优化”,而是对用户下载内容的实质性劫持。在无…

💩129🤡22❤15🤮11🤣7🖕2😡2

25 Jan 2026, 11:26 UTC≈35,800 views94 reactionsread 7 November 2026

微软确认:BitLocker 设备解密密钥可依法向 FBI 提供 微软近日确认,在特定执法请求下,可向 FBI 等执法机构提供存储在微软云端的 BitLocker 设备解密密钥。这一表态引发外界对 Windows 设备加密与用户数据控制权的关注。 据介绍,微软 BitLocker 加密机制允许用户将恢复密钥保存为本地文件,或上传并绑定至微软账户。在 Windows 11 中,设备加密功能默认启用,且在用户登录微软账户的情况下,恢复密钥会自动上传并保存在云端。 美国《福布斯》此前报道称,在一起涉及关岛疫情期间失业补助欺诈案件的调查中,FBI 曾向微软索取目标设备的 BitLocker 恢复密钥。微软在收到合法执法请求后,向 FBI 提供了云端保存的解密密钥,使执法机构得以解密设备并获取相关数据。 微软发言人查尔斯·张伯伦在回应中表示,密钥恢复机制虽然带来便利,但也存在被第三方访问的风险,客户应自行决定如何管理加密密钥。微软…

😁52🤮18❤12🤡5😡3🤔2😱2

23 Jan 2026, 04:46 UTC≈27,300 views52 reactionsread 7 November 2026

海外版小米官方应用商店发现恶意软件,用户需立即自查设备 2026 年 1 月 22 日,安全厂商 Dr.Web 披露,在小米官方应用商店 GetApps 中发现多款携带新型 Android 恶意程序的应用。该恶意软件利用机器学习技术进行隐蔽的广告点击欺诈,即便应用评分较高,也无法保证设备安全。 据介绍,该恶意程序伪装成普通游戏传播,部分应用在最初上架时并未包含恶意代码,而是在后续更新中植入。已确认受感染的应用包括 Theft Auto Mafia、Cute Pet House、Creation Magic World、Amazing Unicorn Party 等,累计下载量达数万次。 该恶意程序使用 Google 开源的 TensorFlow.js 库,通过分析页面视觉内容模拟真实用户操作,而非传统脚本方式,可自动识别并点击广告元素,具备较强隐蔽性。其运行分为“隐身模式”和“监控模式”,后者甚至允许攻击者通过 WebRT…

😁34❤9🤯4👍3💩2

22 Jan 2026, 13:29 UTC≈20,800 views13 reactionsread 7 November 2026

阿尔巴尼亚驻北约使团文电疑遭泄露 2026 年 1 月 22 日,暗网论坛 darkforums.io 出现一则爆料称,阿尔巴尼亚共和国驻希腊大使馆的敏感文件遭黑客泄露。威胁行为者 “HaxChipper” 宣称已获取并公开约 2811 份文件,共 7 个文件夹,总容量约 933MB。 据披露,泄露内容疑似来自邮箱 [email protected],包含收件箱、已发送及已删除邮件数据,文件时间主要集中在 2022 年。内容涉及外交人员信息、外交活动记录、国际协议细节及敏感通信等,属于典型政府行政类高敏感数据。 阿尔巴尼亚为北约成员国,该事件被视为高严重等级外交信息泄露事件。相关资料一旦被用于情报分析、社会工程攻击或外交施压,或对其外交安全构成直接威胁。目前阿尔巴尼亚官方尚未对此作出公开回应。攻击者的 Telegram 频道亦同步发布了相关泄露信息。 安全研究人员指出,尽管文件时间较早,但仍具有现实分析价…

❤7👍6

22 Jan 2026, 08:31 UTC≈32,700 views168 reactionsread 7 November 2026

腾讯法务出手:多款微信聊天记录导出工具被迫下架 近日,多款开源、免费的微信聊天记录导出工具在 GitHub 平台遭 DMCA 投诉下架,其中包括曾广受好评的 WeChat Clean 等项目。相关开发者披露,投诉方为腾讯。 从投诉摘要来看,腾讯主要提出四项指控: 一是涉嫌违反 DMCA 第1201条,认为工具“绕过技术保护措施”,因其解析了微信本地数据库结构; 二是违反微信服务条款,构成逆向工程行为; 三是可能威胁用户隐私与数据安全; 四是侵犯腾讯知识产权,投诉文件中甚至称聊天记录存储格式归腾讯所有。 更具争议的是,投诉原文将“让用户访问自己设备中的聊天数据”认定为**“非法的未授权访问”**,该表述在技术圈引发广泛争议。 值得注意的是,GitHub 并未对项目技术细节作出实质裁定,而是依据 DMCA 机制先行下架仓库。对个人开发者而言,跨国维权成本极高,几乎缺乏申诉空间。 不少用户质疑:自己的聊天记录为何不能自行导出…

🤡101🖕34❤13💩9😁4👎3👏1🤣1

20 Jan 2026, 16:33 UTC≈15,900 views24 reactionsread 7 November 2026

疑似 BF 论坛 1200 名 VIP 用户数据库披露,涉 95 个标注为 CN 的 ID 2026 年 1 月 17 日,暗网监测发现一份自称来自 BreachForums(BF 论坛)的 SQL 数据库文件泄露。该数据库宣称涵盖 11 个国家共约 1200 名“VIP 用户”,其中“国家”字段标注为 CN 的用户数量为 95 个。由于泄露者未披露 VIP 用户的评定标准,其身份真实性尚无法确认。 泄露数据包含用户 ID、用户名、明文密码、等级、在线时长、发帖数量、国家字段及最后登录 IP 等 16 项关键信息。统计显示,CN 标注用户中,短时在线与高活跃用户并存,发帖行为呈现明显的“二八分布”,多数账号发帖极少,少数账号贡献大量回复,部分高发帖账号行为特征异常,不排除账号被入侵或被第三方滥用的可能。 IP 归属分析显示,相关用户登录 IP 主要分布在美国、中国、德国等国家,其中美国 IP 占比超过一半,中国本地 IP …

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31 Dec 2025, 16:22 UTC≈18,900 views105 reactionsread 7 November 2026

新年快乐!

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4 Oct 2025, 06:48 UTC≈43,800 views171 reactions2 Starsread 7 November 2026

美国司法部获准远程访问Telegram服务器,引发跨境隐私争议 美国司法部获得法院授权,可远程访问Telegram服务器以获取儿童剥削调查证据。由于Telegram拒绝配合调查,美国当局采取罕见技术手段绕过常规程序,引发全球对隐私与执法边界的热议。 据Court Watch发布的摘要,司法部请求使用“远程访问搜索技术”获取目标账户数据,法院已批准一次性操作。访问过程必须限制在调查员设备内,禁止持续监控和未经授权的进一步操作。 Telegram否认服务器可被访问,强调其端到端加密机制保护用户隐私。尽管平台曾配合提供部分用户元数据,但在严重犯罪调查中,执法部门对其配合度不满。 此次行动标志着美方首次对海外加密平台采取主动干预措施,技术方法类似过去对Tor或暗网的渗透。事件引发关于平台责任、跨境管辖权与用户隐私权的新一轮争论。

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Showing the 12 most recent of 23 posts we hold for @CN_Privacy. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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 3 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.

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.

LoopDNS资讯播报
@DNSPODT · 73,218
Telegram ranks this channel #13 of 59 here — alongside 58 others — read 20 August 2026
风向旗参考快讯
@xhqcankao · 167,873
Telegram ranks this channel #14 of 45 here — alongside 44 others — read 12 August 2026
学习墙国🐸
@XueXi_China · 86,396
Telegram ranks this channel #16 of 48 here — alongside 47 others — read 17 August 2026
在花🎗️科技圈
@zaihuapd · 289,289
Telegram ranks this channel #25 of 40 here — alongside 39 others — read 12 August 2026
极客分享
@geekshare · 65,414
Telegram ranks this channel #28 of 44 here — alongside 43 others — read 21 August 2026
电报时报
@times001 · 84,408
Telegram ranks this channel #35 of 66 here — alongside 65 others — read 18 August 2026
树洞🌳群友问❓有点意思🗳
@qunyouwen · 89,077
Telegram ranks this channel #35 of 67 here — alongside 66 others — read 17 August 2026
秘密小频道(树洞)
@chxpd · 157,147
Telegram ranks this channel #41 of 51 here — alongside 50 others — read 17 August 2026
竹新社
@tnews365 · 167,040
Telegram ranks this channel #41 of 59 here — alongside 58 others — read 12 August 2026
黑洞资源笔记
@piracy6 · 77,976
Telegram ranks this channel #48 of 61 here — alongside 60 others — read 19 August 2026
Yummy 😋
@GodlyNews1 · 70,950
Telegram ranks this channel #54 of 55 here — alongside 54 others — read 20 August 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“隐私中国 Dark Web Inform” (@CN_Privacy), 17,114 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/CN_Privacy.

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.