Channel
@VOC_n
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,368subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001602355165 |
|---|---|
| Type | Channel |
| Username | @VOC_n |
| Created | Between 1 November 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/VOC_n |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 19:54 | 3,368 | +4 |
| 20 Aug 2026, 20:28 | 3,364 | +2 |
| 17 Aug 2026, 10:46 | 3,362 | -4 |
| 13 Aug 2026, 12:34 | 3,366 | -5 |
| 10 Aug 2026, 17:15 | 3,371 | +1 |
| 7 Aug 2026, 18:31 | 3,370 | -1 |
| 7 Aug 2026, 08:46 | 3,371 | first reading |
20 posts held, back to 4 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 3 pagesof Telegram’s post history, 20 posts per page.
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 1 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (4 August 2026 – 7 August 2026) |
| Views total | 2,657 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:26 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.
Measured directly from 5 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👏 | 1 | 100.0% |
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 1 of the 20 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 August 2026 to 7 August 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.
中国最大的“环”，要来了 “十五五”期间，沿边G219、G331和沿海G228三条骨干通道将全面贯通，形成全长2.6万公里的“黄金大外环”。它纵贯10多个省份，不仅是串联全谱系地貌的“人生必驾”路线，更是连接陆海的物流大通道、资源开发与稳边固边通道。最大受益者并非超大特大城市，而是新疆阿勒泰、辽宁丹东、广西东兴三大节点城市，以及众多沿边口岸城市——它们将从交通末梢变身开放前沿。 这并非新的超级工程，而是超级路网的战略闭环——我国综合立体交通路网主骨架建成率已达91%。未来大基建不再简单“铺摊子”，而是转向优化布局与打通经济循环大动脉。告别投资驱动、拥抱创新驱动，是所有城市绕不开的选择。 ▎Source
我们把老板绑到了瀑布里…… 在贵州，没有一条河在好好走路，它们遇洞就钻，遇崖就跳，跳出了一个又野又欢腾的瀑布王国。 这一次，我们和纯水乐一同踏上贵州寻瀑之旅，奔向自由，向纯境出发。 ▎Source
人们想念张雪峰，是K型分化下的一声叹息 河南平顶山一烧烤摊主因酷似张雪峰走红，评论区却少见玩梗，满屏是“希望你活着”的沉重思念。人们怀念的不是争议缠身的张雪峰本人，而是那个愿为寒门说真话的人。他做的并非提供稀缺信息，而是帮无力承担决策风险的县城家庭转移责任——一万八的“圆梦卡”，本质是买一次“错了不怪爹”的签字。 怀念背后是K型分化：收入流量在改善，但存量财富与代际传递的分岔在固化。上支不缺代言人，下支几乎只有张雪峰用他们的坐标系说话。他从未拓宽通道，只是在地图变暗时画了张能看懂的路标。如今AI正拆掉年轻人唯一的入门梯，而职业半衰期短于学制，那张地图本身也在过期。真话的勇气仍在，但真话的内容已无人能确定。 ▎Source
德国守了几十年的榜首没了，中国机床悄悄干到全球第一 2025年中国机床出口86亿欧元、全球份额21.6%，首超德国登顶第一。 驱动力在于“04专项”突破与新能源汽车浪潮叠加，国产数控系统市占率升至31.9%，五轴机床国产化率达59.5%，加之性价比优势抢占新兴市场。但规模领先难掩深层隐忧：高档数控系统七成依赖进口，精度保持性、系统稳定性与德国差距悬殊，研发投入和产业生态亦显薄弱。 中国机床完成了从“追赶”到“规模引领”的跨越，核心技术与盈利能力尚存本质差距，迈向真正的“技术引领者”仍需时日。 ▎Source
伊朗要求所有通过霍尔木兹海峡的商船支付“7%的费用”，同时完全免除俄罗斯和中国船只的费用。
中国山海交汇处的小城，太宝藏了！ ▎Source
这都是道教正统！？一张图看懂中国道教全部门派 https://7bs4hhvhxk6l2.ok.kimi.link/ ▎Source
三星、SK 海力士测试中国芯片设备 应对美出口限制风险 三位知情人士称，三星电子、SK海力士正在评估中国中微半导体设备公司的芯片制造设备，以便可能在其中国工厂使用。目前，这两家韩国公司正在对冲美国收紧出口管制的风险。这两家存储芯片制造商大约在两年前开始测试中微半导体的刻蚀设备。当时，美国是否继续允许它们将美国芯片制造设备进口至中国的不确定性不断攀升。尽管这些评估尚未促成更大规模部署的决定，但它们为中微半导体提供了一个难得的机会，使其有望获得全球领先芯片制造商的认可。 对此，三星在发给路透社的一份声明中辟谣道，公司没有为了在中国工厂的使用而测试中微半导体的设备，也未考虑过这样做。 —— 凤凰网科技、路透社
中美苏秘史！面对两边拉拢 新中国应该倒向谁？【思维实验室】 参考资料： 《国共两党关系通史》 《司徒雷登驻华报告》 《中美关系资料汇编》 《中苏友好》 《The Far East : China， Volume IX (1949)》 《中苏条约谈判的俄国档案文献 》 《Sino-Soviet Relations，January-February 1950 》 《杜鲁 门 回忆录》 《建国以来毛泽东文稿》 《 Alastair Lamb ，China ，India ＆ Tibet 1914—1950》 《俄罗斯解密档案选编 : 中苏关系》 《在历史巨人身边 : 师哲回忆录》 《建国以来刘少奇文稿》 《代表中共中央给联共 ( 布) 中央斯大林的报告》 ▎Source
美国监狱里的妈妈全集-一步步系统性地分离母亲、孩子、家庭。 · 妇女被监禁的现状与原因：美国女性囚犯数量在过去40年增长了800%，其中高达80% 是年幼孩子的母亲，且多数因非暴力犯罪入狱。 · “系统性分离”的残酷机制：母亲入狱后，孩子常被送往寄养家庭。法律程序可能在短短15个月内就永久剥夺母亲的监护权，使其在法律上与孩子成为“陌生人”。这种强制分离给母亲带来严重的抑郁和无力感，也对孩子的心理发展造成极大创伤。 ▎Source
中产娃变笨的原因：预制教育 “预制教育”（假期提前学完下学期的所有内容）正在从物理层面损伤孩子的大脑。 文章从神经科学角度指出，负责决策、自律的前额叶皮层发育至25岁，其成长依赖于孩子在真实困难中独立试错。而“预制”恰恰跳过了这个“卡住-想通”的关键过程，剥夺了大脑发育的机会。 研究表明，长期被过度干预的孩子，前额叶皮层灰质体积会明显缩小，导致成年后在亲密关系和职业上极易退缩。文章建议，与其填满时间，不如在0-6岁给予情绪稳定、6-12岁培养做事章法、12岁后让孩子自己拿主意并承担后果。▎Source
东京动物园的一段视频走红，一只名叫“桃桃”的小熊试图把一个交通锥带回家，但它的妈妈对此态度非常坚决。
Showing the 12 most recent of 20 posts we hold for @VOC_n. 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.
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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“華聲日報 VOCN” (@VOC_n), 3,368 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/VOC_n.
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.