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Channel

互联网观察

@guanchahulw

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

65,023subscribers

-9,102 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002023057151
TypeChannel
Username@guanchahulw
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 30 September 2026
On Telegramt.me/guanchahulw

Topic

National news — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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 why it has no browse page of its own yet.

Growth

65,02374,12569,5747 August 2026 — 74,125 subscribers7 August 2026 — 74,123 subscribers8 August 2026 — 73,947 subscribers9 August 2026 — 73,822 subscribers10 August 2026 — 73,618 subscribers11 August 2026 — 73,388 subscribers12 August 2026 — 73,131 subscribers13 August 2026 — 73,081 subscribers14 August 2026 — 72,926 subscribers16 August 2026 — 72,659 subscribers17 August 2026 — 72,482 subscribers18 August 2026 — 72,265 subscribers19 August 2026 — 72,069 subscribers20 August 2026 — 72,050 subscribers21 August 2026 — 71,885 subscribers23 August 2026 — 71,566 subscribers24 August 2026 — 71,311 subscribers26 August 2026 — 71,138 subscribers26 August 2026 — 70,990 subscribers27 August 2026 — 70,985 subscribers28 August 2026 — 70,790 subscribers29 August 2026 — 70,614 subscribers30 August 2026 — 70,398 subscribers31 August 2026 — 70,196 subscribers1 September 2026 — 69,865 subscribers2 September 2026 — 69,624 subscribers4 September 2026 — 69,317 subscribers7 September 2026 — 68,883 subscribers10 September 2026 — 68,234 subscribers12 September 2026 — 67,840 subscribers14 September 2026 — 67,477 subscribers15 September 2026 — 67,449 subscribers18 September 2026 — 67,029 subscribers30 September 2026 — 65,023 subscribers7 August 202630 September 2026
34 measurements spanning 54 days, net -9,102. 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 63,658–75,490 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
30 Sept 2026, 11:2165,023-2,006
18 Sept 2026, 00:3867,029-420
15 Sept 2026, 16:5867,449-28
14 Sept 2026, 03:4267,477-363
12 Sept 2026, 07:5867,840-394
10 Sept 2026, 06:2168,234-649
7 Sept 2026, 00:2068,883-434
4 Sept 2026, 12:2069,317-307
2 Sept 2026, 23:3569,624-241
1 Sept 2026, 22:2869,865-331
31 Aug 2026, 22:1670,196-202
30 Aug 2026, 22:0370,398-216
29 Aug 2026, 18:2570,614-176
28 Aug 2026, 17:0570,790-195
27 Aug 2026, 20:0270,985-5
26 Aug 2026, 23:2770,990-148
26 Aug 2026, 01:1371,138-173
24 Aug 2026, 23:1671,311-255
23 Aug 2026, 12:3671,566-319
21 Aug 2026, 23:5871,885first reading

Engagement

428 posts held, back to 5 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 121 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.228%
avg views ÷ 65,023 subscribers
Avg views / post
148
222 posts measured
Reaction rate
0.724%
reactions ÷ views · ER floor
Posts in window
222
of 428 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 49 of 222 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 October 2026
Posts held428 (5 August 2026 – 5 October 2026)
Views total32,880
Reactions total53
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Oct 2026, 16:02 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
192
Videos
578
Links
140

Lifetime counters from Telegram’s own channel header, read 5 October 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.

Video runtime
27m 10s
Average length
19s

Measured directly from 85 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

131 reactions across 111 posts, in 3 distinct kinds. The most used accounts for 88.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍11688.5%
❤1410.7%
🐳10.763%

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 114 of the 428 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 131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 428 most recent posts we hold, published 5 August 2026 to 5 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.

Recent posts

5 Oct 2026, 09:04 UTC60 views2 reactionsread 5 October 2026

AI热潮若退烧 东南亚、中日韩恐受伤最重 本周一,东盟与中日韩宏观经济研究办公室(AMRO)警告,东南亚和中日韩位居全球AI供应链核心,金融市场也和AI投资愈来愈紧密相连,一旦AI热潮崩跌,将比多数经济体更易受创,冲击可能从科技出口蔓延至资金流动和整体经济。AMRO发布《2026年金融稳定报告》指出,这些经济体位居全球AI供应链核心,也 “愈来愈深入参与 AI 相关金融市场”,因此 “格外容易受到冲击” 。“若市场出现失序修正,冲击可能通过多种渠道扩散,包括科技出口减少、投资组合亏损、资金外流、负债偏高的科技和基础建设业者面临再融资压力,以及投资人信心转弱。”

👍2

5 Oct 2026, 06:22 UTC77 viewsread 5 October 2026

原中国电信员工举报高管套取 3800 万 10 月 5 日,原中国电信集团员工郑某实名举报多名高管,称“国家工业互联网大数据中心”项目存在围标串标、伪造合同等问题,涉嫌违规套取 3800 万元财政资金。举报还涉及虚假合同、虚高采购及资金违规分流等。 郑某称,其于 2026 年 6 月被单方面解除劳动合同。截至发稿,官方尚未公布调查结果,中国电信未回应。

4 Oct 2026, 22:59 UTC104 viewsread 5 October 2026

谷歌因AI垃圾报告暂停开源漏洞赏金计划 谷歌10月1日宣布,暂停其「开源软件漏洞回报奖励计划」中的产品漏洞提报渠道,预计最快要到 2027 年第一季才会公布重组后的最新进展。官方指出,此举主要源于大量利用大型语言模型自动生成的无效漏洞报告涌入,导致审查工程师与开源维护者疲于奔命。谷歌 OSS VRP 原本旨在鼓励资安研究员协助找出谷歌旗下开源专案代码、架构设计及逻辑上的安全漏洞,并提供奖金鼓励负责任的披露。过去寻找这类漏洞需要具备极高的专业技术与长时间人工排查,然而随着生成式AI与自动化寻找漏洞工具的兴起,提交门槛大幅降低,引来大量投机性提交。

4 Oct 2026, 13:28 UTC134 views1 reactionsread 5 October 2026

美海军用 Xbox 手柄操控舰载反无人机激光 美国海军开始在军舰上部署反无人机激光系统,并用 Xbox 风格手柄操控,称这类手柄能提供瞄准精度和快速输入,且很多水兵熟悉其布局。该系统据报已在霍尔木兹海峡用于对付无人机等威胁。 单次激光拦截的电力成本约 13 美元,远低于可能高达数千乃至数百万美元的传统防空导弹。此前类似系统曾在布什号航母上测试,英国皇家海军也在为驱逐舰安装同类系统。

👍1

4 Oct 2026, 09:12 UTC113 viewsread 5 October 2026

美国财长批评AI大佬生存风险警告:危言耸听,光喊不拿方案 美国财政部长贝森特批评了一些知名AI人士就该技术构成的生存性风险发出的警告,认为这些警告危言耸听且无助于解决问题。贝森特在周六发布的采访中说:“我认为,我们必须为各种情况做好准备,但另一方面,AI界某些人只发出危言耸听的声音,却拿不出解决方案,这不是领导力。” 贝森特表示:“必须承担责任的是各家实验室的负责人,这一点我同意。我认为,各家实验室也已经逐渐接受了这种思路。”不过,当被问及AI行业高管呼吁监管时,贝森特回答说:“那好吧,那他们就应该放慢速度。我们要的是安全地加速发展。必须承担责任的是各实验室的负责人,我同意这一点。”

4 Oct 2026, 09:06 UTC101 viewsread 5 October 2026

韩国四家银行外围系统接连发生数据泄露 韩国新韩、国民、韩亚和 BNK 釜山银行的员工或外部合作系统近期接连发生数据泄露。新韩银行贷款代理查询系统遭攻击 3 天,涉及 25,729 名客户;国民、韩亚分别涉及 119 名和 89 名客户,釜山银行有 11 名外包开发人员个人信息外泄。 韩国金融监管机构将检查金融业 IT 系统,范围扩至员工业务系统和外部合作方,并要求排查外部暴露系统漏洞、强化身份验证和访问控制,分享攻击 IP 及手法。

4 Oct 2026, 04:02 UTC99 viewsread 5 October 2026

美国成立 AI 特别工作组,120 天内交风险报告 据《华尔街日报》报道,白宫新设一个特别工作组,评估人工智能带来的风险,以及联邦政府应对该技术承担何种责任。工作组名为"超级智能力量"(Super Intelligence Force),由国家情报总监 Jay Clayton 领导,他已向该报确认这一角色。一名白宫高级官员称,这让 Clayton 实际上成为特朗普政府的"AI 沙皇"。 Clayton 表示,总统要求组建一个小组,确保美国"继续在超级智能领域保持领先,并把美国人民的利益放在首位"。尽管外界对 AI 安全风险的担忧升温,特朗普仍拒绝出台新监管,优先考虑保持对中国的领先,并支持一套包含外部安全审计和更强内部管控的自愿框架。本周他在与行业高管会面时说,美国"领先幅度很大,会继续保持领先"。

3 Oct 2026, 13:08 UTC145 viewsread 5 October 2026

报告称中国已经囤积了343台深紫外光刻机,美国呼吁全面禁止出口 根据华盛顿研究机构技术与国家治理中心(CTS)报告,中国半导体厂商在近年间积累了大量浸没式深紫外(DUV)光刻机。截至2026年初,中国工厂已拥有约343台此类设备,其中约270台为ASML的Twinscan NXT:1980i型号。尽管这些设备落后于极紫外(EUV)光刻机,但仍可用于制造7纳米级逻辑芯片及人工智能处理器。报告指出,中国在2024至2025年间斥资逾130亿美元购入相关设备,促使前美国官员及部分议员呼吁彻底封锁此类设备对华出口,并限制备件和服务,以堵住现有出口许可制度中的漏洞。报告警告称,若不切断进口,中国到2035年的AI芯片产能将远高于实施禁运后的水平。

Showing the 12 most recent of 428 posts we hold for @guanchahulw. 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

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@jinsecaijinpingdao · 232,784
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 17 August 2026
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Telegram ranks this channel #8 of 61 here — alongside 60 others — read 22 August 2026
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Telegram ranks this channel #11 of 47 here — alongside 46 others — read 19 August 2026
分叉财经(crypto news)
@fenchacaij · 246,604
Telegram ranks this channel #11 of 83 here — alongside 82 others — read 17 August 2026
Coindesk
@Coindesk001 · 51,625
Telegram ranks this channel #14 of 57 here — alongside 56 others — read 22 August 2026
Floki & TokenFi 中文社区入口
@flokiinuchina · 196,920
Telegram ranks this channel #17 of 81 here — alongside 80 others — read 17 August 2026
Btok活动专区
@btokactivity · 25,514
Telegram ranks this channel #27 of 60 here — alongside 59 others — read 11 September 2026
Btok.com Official Channel
@BTOKOFFICIALCHANNEL · 308,469
Telegram ranks this channel #38 of 71 here — alongside 70 others — read 17 August 2026

This channel appears in 10 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 30 September 2026 — this entry's latest reading, not the date you are reading this.

“互联网观察” (@guanchahulw), 65,023 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/guanchahulw.

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.