何立峰:中国始终欢迎日本企业来华发展 中共中央政治局委员、国务院副总理何立峰说,中日是一衣带水的近邻,中国始终欢迎日本企业来华发展。 据新华社报道,何立峰星期二(9月29日)在人民大会堂会见日本国际贸易促进协会访华团。 何立峰说,中日是一衣带水的近邻,互为重要经贸伙伴,中国始终欢迎日本企业来华发展,共享市场机遇。希望日本国际贸易促进协会把握正确历史方向,继续发扬对华友好传统,为推动中日经贸合作发挥更大作用。
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Channel
@hangzhoubaoguang
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
72,339subscribers
-32 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002807439198 |
|---|---|
| Type | Channel |
| Username | @hangzhoubaoguang |
| Description | #东南亚 #柬埔寨 #缅甸 #新闻 #曝光 #吃瓜 聚焦东南亚 | 真实·及时·有料 专注东南亚实时突发、内幕爆料、安全警示, 覆盖电诈园区、灰色产业、本地治安、华人圈热点。 频道内置顶广告,品牌推荐 大额出款无忧 免费投稿——商务 @widf185(内容直接发) |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/hangzhoubaoguang |
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 76% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 09:38 | 72,339 | +1,608 |
| 19 Sept 2026, 02:00 | 70,731 | -321 |
| 16 Sept 2026, 20:02 | 71,052 | -223 |
| 14 Sept 2026, 21:02 | 71,275 | -237 |
| 13 Sept 2026, 05:00 | 71,512 | -456 |
| 11 Sept 2026, 08:20 | 71,968 | -623 |
| 8 Sept 2026, 14:57 | 72,591 | +715 |
| 5 Sept 2026, 09:42 | 71,876 | -169 |
| 3 Sept 2026, 11:39 | 72,045 | -210 |
| 2 Sept 2026, 07:57 | 72,255 | -179 |
| 1 Sept 2026, 06:28 | 72,434 | -155 |
| 31 Aug 2026, 04:25 | 72,589 | -94 |
| 30 Aug 2026, 04:58 | 72,683 | -23 |
| 29 Aug 2026, 05:18 | 72,706 | -777 |
| 28 Aug 2026, 03:02 | 73,483 | -178 |
| 27 Aug 2026, 03:37 | 73,661 | -92 |
| 26 Aug 2026, 06:36 | 73,753 | -171 |
| 25 Aug 2026, 03:03 | 73,924 | +4,336 |
| 23 Aug 2026, 22:15 | 69,588 | -221 |
| 22 Aug 2026, 07:46 | 69,809 | first reading |
497 posts held, back to 3 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 109 pages of 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 97 of 315 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 497 (3 August 2026 – 30 September 2026) |
| Views total | 305,571 |
| Reactions total | 114 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 02:30 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.
Lifetime counters from Telegram’s own channel header, read 30 September 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.
Measured directly from 38 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.
146 reactions across 121 posts, in 13 distinct kinds. The most used accounts for 37.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 54 | 37.0% | |
| ❤ | 29 | 19.9% | |
| 👏 | 12 | 8.22% | |
| 🥰 | 11 | 7.53% | |
| ⚡ | 10 | 6.85% | |
| 🔥 | 9 | 6.16% | |
| 🎉 | 8 | 5.48% | |
| 🤩 | 5 | 3.42% | |
| 😁 | 4 | 2.74% | |
| 🙏 | 1 | 0.685% | |
| 🤡 | 1 | 0.685% | |
| 🤣 | 1 | 0.685% | |
| 🤮 | 1 | 0.685% |
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 123 of the 497 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 146 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 497 most recent posts we hold, published 3 August 2026 to 30 September 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.
何立峰:中国始终欢迎日本企业来华发展 中共中央政治局委员、国务院副总理何立峰说,中日是一衣带水的近邻,中国始终欢迎日本企业来华发展。 据新华社报道,何立峰星期二(9月29日)在人民大会堂会见日本国际贸易促进协会访华团。 何立峰说,中日是一衣带水的近邻,互为重要经贸伙伴,中国始终欢迎日本企业来华发展,共享市场机遇。希望日本国际贸易促进协会把握正确历史方向,继续发扬对华友好传统,为推动中日经贸合作发挥更大作用。
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Bitget CEO:黑客转出资产约3.88亿美元,动用保护基金后一周内将补足至3亿美元以上 9月28日消息,Bitget CEO Gracy Chen 在直播中表示,攻击者利用第三方安全产品漏洞窃取内网凭证权限,向钱包系统伪造提现指令,绕过风控校验。不过本次攻击并未造成私钥泄露,冷钱包也未受影响。 目前漏洞已修复,事件已得到完全控制。 经确认,被转出资产约 3.88 亿美元,攻击者地址及链上追踪数据已公开发布。Gracy Chen 表示,本次损失将全部由用户保护基金承担,Bitget 将在基金动用后一周内将保护基金补足至至少 3 亿美元。 目前 Bitget 已启动资产追回相关计划,并将向行业相关方同步已确认的漏洞和攻击信息。
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泰国博通寺惊现巨鳄!重逾400公斤🐊 9月27日,泰国巴真府西玛哈波县博通寺附近发现一条体重超过400公斤的巨型鳄鱼。 受近期洪水泛滥影响,水位不断上涨,连鳄鱼都坐不住了,直接顺着洪水“出门逛街”。😂当地工作人员紧急出动进行控制,并加强周边安全防范。 看来这场洪水不光是路没了,连“水路交通工具”都自己跑出来了……再这么下去,出门可能真的得先看看水里有没有东西在游。🐊🌊
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嘉莱警方就作家告遭侮辱案立案 嘉莱省公安厅9月29日表示,刑事警察机关已就侮辱他人罪作出刑事立案决定,案件关联作家告(Gào)的控告书。据初步信息,2018年至2025年间,河内市人武芳清(笔名作家告)称自己持续遭Facebook、Messenger、Zalo上多个反粉丝群组中的个别人士发布、分享攻击、诽谤内容,严重侮辱其个人名誉、人格、声誉及家庭经营活动。控告书指,嘉莱省西山县37岁女子T.C.T使用Facebook账号“Tường KN”,是直接、主要实施上述行为者,并参与管理“Anti-Gào Zone”“UNITED AGZ”“Truy tìm Mộng Tuyền”等大型反粉丝群组。她还被指用Zalo、Facebook直接发送粗俗信息,截图后在私密群组传播以煽动他人攻击。武芳清还控告有人跟踪、偷拍其孩子,散发虚假讨债传单,并向其亲属工作场所投掷污物。目前案件正依法处理。
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专家呼吁保护大叻松林维护城市特色 越南专家指出,大叻的松林不仅是自然景观,更是塑造当地身份与记忆的核心要素。公共政策专家黄胡大义表示,松林已超越自然资源范畴,成为大叻文化与“身份证”的一部分。亚洲旅游发展研究院院长范海琼分析称,大叻位于海拔1500米,得益于广阔的三叶松林覆盖,才维持了全年18至21摄氏度的温带气候,并形成“雾之城”品牌。松林还能在雨季截留约70%的降雨,防止水土流失,补给地下水。专家建议将松林视为城市“绿色基础设施”,从“林地面积管理”转向“森林-城市景观治理”,保护具有生态、景观和文化价值的松林区域,避免过度分割和混凝土化。
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越南Gigamall水果节2026年7月举办 Gigamall购物中心将于2026年7月7日至12日举办“Gigamall水果节2026”。活动地点位于胡志明市范文同路240-242号协平坊Gigamall购物中心一楼大厅,免费入场。现场设有以新鲜水果制作的龙-凤迎宾门和热带花园打卡区,游客可参与免费领取新鲜椰子活动。活动期间将举办开幕式、魔术表演、水果时装秀、有奖问答和幸运轮盘等舞台节目,并设有创意工作坊供家庭参与。主办方表示,该活动旨在推广越南农产品和绿色消费趋势。
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8371157307
特朗普盟友贝利在中期选举前离开FBI 美国总统特朗普的盟友安德鲁·贝利已离开联邦调查局(FBI)副局长职位。贝利曾在社交平台宣布,离职是为回归家庭。他此前离开密苏里州总检察长一职加入FBI,在局长卡什·帕特尔手下参与监督多项与选举相关的调查,包括年初FBI在佐治亚州查扣2020年总统选举文件和选票时他在场。贝利最初与丹·邦吉诺共同担任副局长,邦吉诺已于1月离职。此次辞职距中期选举约五周,该选举将决定美国国会权力平衡。FBI近期审查多州选举记录,并调
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虚拟货币真不是法外之地 国安部点名洗钱、黑客和间谍经费 9月28日,国家安全部发布提醒,虚拟货币看似匿名、隐蔽,实际上并非无法追踪,更不是违法犯罪资金的“安全通道” 一些电诈、网赌、跨境走私等犯罪团伙,会利用虚拟货币转移和洗白赃款;黑客实施勒索病毒攻击、网络入侵后,也可能要求受害者用虚拟货币支付赎金。更值得警惕的是,境外间谍情报机关也可能通过虚拟货币秘密输送间谍经费 虚拟货币交易虽然不直接显示真实姓名,但区块链上的交易记录会长期留存且难以篡改。资金兑换和流转过程中,还可能留下交易平台记录、设备信息、网络IP等痕迹,通过链上数据可以继续追查资金去向和实际使用人 国家安全部提醒,比特币、以太币、泰达币等虚拟货币在我国不具有与法定货币等同的法律地位,相关非法金融活动不受法律保护
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Bitget黑客开始转移赃款,通过THORChain将ETH换成BTC 9月28日,据Lookonchain监测,盗取Bitget约3.516亿美元资产的黑客,正在通过跨链协议THORChain将ETH兑换成BTC。 此类跨链兑换会增加资金追踪与冻结难度,相关地址及资金流向仍在持续监控中。 ps:币还没追回,黑客已经开始跨链洗钱了,真正的追踪大战才刚开始。
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#缅甸新闻 DKBA保护下诈骗园区仍用泰国光纤网络 据消息,DKBA控制的克伦邦泰缅边境当仁河附近网络诈骗园区内,仍从泰国一侧连接光纤使用互联网。 据悉,光纤线路从DKBA总部所在的松塞棉村附近瓦米代村连接至泰国一侧,使用已近一个多月。
中国教育部原副部长鲁昕被查 已退休的中国教育部原副部长、党组成员鲁昕被查。 中纪委国家监委星期一(9月28日)通报,教育部原党组成员、副部长鲁昕涉嫌严重违纪违法,目前正接受中央纪委国家监委纪律审查和监察调查。 鲁昕1955年7月生,辽宁抚顺人,经济学博士。公开资料显示,她1978年至1982年在东北财经大学财政金融系读财政专业,后在财政部财政科学研究所取得博士学位。
Showing the 12 most recent of 497 posts we hold for @hangzhoubaoguang. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“人民日报 -东南亚分部” (@hangzhoubaoguang), 72,339 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/hangzhoubaoguang.
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.