Channel
@jiudingguanfang
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,798subscribers
+730 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001648205682 |
|---|---|
| Type | Channel |
| Username | @jiudingguanfang |
| Created | Between 1 December 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 | 17 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/jiudingguanfang |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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 |
|---|---|---|
| 17 Sept 2026, 05:59 | 8,798 | +264 |
| 12 Sept 2026, 19:57 | 8,534 | -38 |
| 8 Sept 2026, 16:21 | 8,572 | +5 |
| 3 Sept 2026, 17:22 | 8,567 | +134 |
| 31 Aug 2026, 20:36 | 8,433 | -68 |
| 29 Aug 2026, 01:57 | 8,501 | +72 |
| 26 Aug 2026, 01:32 | 8,429 | +365 |
| 23 Aug 2026, 00:48 | 8,064 | -32 |
| 20 Aug 2026, 00:11 | 8,096 | +30 |
| 16 Aug 2026, 20:03 | 8,066 | +115 |
| 13 Aug 2026, 12:58 | 7,951 | +62 |
| 10 Aug 2026, 17:31 | 7,889 | -206 |
| 7 Aug 2026, 23:51 | 8,095 | +27 |
| 7 Aug 2026, 12:17 | 8,068 | first reading |
119 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 19 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.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 119 (5 August 2026 – 28 August 2026) |
| Views total | 30,962 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 17:30 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.
Measured directly from 16 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.
8 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 75.0% | |
| 💔 | 1 | 12.5% | |
| 🥰 | 1 | 12.5% |
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 10 of the 119 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 119 most recent posts we hold, published 5 August 2026 to 28 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.
#泰国资讯：泰国总理府新版外国人驱逐条例，8月28日正式生效 这份总理府出台的驱逐外国人新规（佛历2569版），8月26日由泰国总理阿努廷签署，8月27日刊登泰国皇家政府公报，8月28日正式开始实施。 新规主要是优化、加速外国人驱逐的整套行政流程，并不是违法直接自动驱逐，所有案件依旧需要走完司法程序，最终驱逐命令由泰国内政部长签发。 可以启动驱逐程序的情形 在法院作出生效判决之后，下面几类外国人将进入驱逐处置流程，主犯、教唆、协助作案人员同样适用该条例： 1. 非法入境，或是签证到期非法滞留 2. 没有工作许可，非法在泰国务工 3. 违反《外国商业法》，违规开展经营经商活动 4. 伪造、变造、使用各类官方虚假证件文件 5. 触犯可判处5年及以上监禁的严重刑事犯罪 另外，如果外国人行为违背当地公共秩序、社会公序良俗，内政部门也可以提交案件，评估是否启动驱逐手续。 配套约束：附带入境禁令 驱逐令可以同步设置期…
Signed 天成担保二组业务员 天权
#国内资讯：北京警方今年打掉170个涉诈窝点和团伙，截获6200余万元现金及19.51公斤黄金 8月27日发布的北京警方最新反诈数据显示，今年以来，北京电信网络诈骗发案数和群众财产损失金额同比均下降超过50%。 北京市公安局刑侦部门8月26日介绍，今年以来，警方持续打击涉诈电话卡、银行卡以及人员、资金转移链条，累计打掉170个涉诈窝点和团伙。 针对诈骗资金由线上转账向线下现金、黄金等实物转移的新变化，北京警方开展专项打击，目前已抓获460余名涉诈资金线下转运嫌疑人，打掉73个涉诈资金转运车队，截获现金6200余万元、黄金19.51公斤。 警方同时加强涉诈风险预警和劝阻，将预警信息按照紧急、高、中、低四个等级进行处置，通过96110反诈专线、短信、智能语音和上门劝阻等方式及时干预。今年以来，已避免群众潜在损失超过40亿元。 今年3月，丰台警方在一起虚假投资诈骗预警中及时介入，阻止一名群众继续转账，避免潜在损失700万元。…
Signed 天成担保二组业务员 天权
#老挝资讯：万象突查网络诈骗窝点，拘留68名嫌疑人 8月27日上午10时左右，老挝公安部特别工作组联合机动警察司令部、情报总局以及目标保护警察司令部，在万象首都哈赛丰县对两处酒店展开突袭检查，打击网络犯罪和网络赌博活动。 第一处地点位于隆成经济特区东坡西村的Grandphook酒店。警方共拘留62名嫌疑人，其中包括10名女性，涉及3个国籍：44名中国籍人员；12名越南籍人员，其中7名女性；6名泰国籍人员，其中3名女性。 警方现场查获98台台式电脑、24台笔记本电脑、322部手机、45台iPad以及60张SIM卡。 第二处地点位于东坎桑村的Pani酒店。警方拘留6人，其中5名中国籍、1名泰国籍，同时查扣1台笔记本电脑和18部手机。 目前，警方正在对被拘留人员进行讯问，并进一步调查，以查明组织者以及其他涉案人员。老挝执法部门表示，凡被查实违反老挝法律的人员，都将依法追究责任。 ———————————— 天成担保广告赞助…
Signed 天成担保二组业务员 天权
#越南资讯： 胡志明市警方查获中国籍团伙租房实施网络诈骗 胡志明市警方发现4名中国籍人员在该市富顺坊（原第七郡）租用公寓，按照预先设定的剧本给中国本土同胞打电话实施诈骗。 8月28日，胡志明市公安局出入境管理局（PA08）联合当地警方，在新山一国际机场办妥相关手续，依法将该中国籍涉案团伙遣返回国。 此前，警方发现该团伙入境越南后，租下位于富顺坊黄国越路某小区的一套公寓作为窝点，暗中从事网络诈骗活动。 据警方通报，该团伙按照事先准备好的诈骗剧本，向中国境内民众拨打电话，诱骗受害人转账以非法占有财物。执法人员在对该公寓进行检查时，当场查获大量用于作案的手机和电脑。 此次案件的破获，得益于胡志明市公安局近期对辖区住宿设施及外籍人员排查力度的加大。在早前专项行动的高峰期，警方已连续查获多个中国籍犯罪团伙，他们通过整租民房或包下酒店集中人员，拉设网线并配备数百台手机及电脑，为搭建网络诈骗窝点做准备。 ———————————— …
Signed 天成担保二组业务员 天权
#非洲资讯：卢萨卡警方捣毁一电诈窝点 抓获79名涉诈嫌疑人（含11名中国籍） 据赞比亚媒体报道：8月23日，赞比亚警方联合缉毒委员会、移民局、国家网络安全局开展突击执法行动，对首都卢萨卡新卡萨马区埃瓦纳庄园一处可疑场所实施搜查，共抓获79名涉嫌网络犯罪人员，行动线索来自当地民众举报。 官方通报显示，落网人员来自多个国家，分别为35名乌干达公民、11名中国公民、10名赞比亚公民、8名肯尼亚公民、6名加纳公民、5名利比里亚公民、2名布隆迪公民、1名乍得公民以及1名津巴布韦公民。 执法现场查获大批作案设备，含73台台式电脑、6台笔记本电脑、140部手机、5套星链设备、2块移动硬盘、10张新SIM卡以及75本护照；现场还缴获21490克瓦查、10450美元及其他外币现金。 经安全部门对扣押物证初步研判，该庄园内的场所为一处新近成立、组织严密的网络犯罪窝点。 办案人员同步核查外籍嫌疑人招募、食宿用工情况。初步线索显示，部分人员疑…
Signed 天成担保二组业务员 天权
#缅甸 缅甸近40万个涉在线赌博可疑短信号码被永久关闭 据缅甸媒体报道：缅甸仰光省政府安全与边境事务部长温定上校表示，截至2026年6月30日，当局已永久关闭399078个涉嫌发送在线赌博相关可疑短信的电话号码 温定上校于8月26日在第三届仰光省议会第三次例行会议第九天会议上，就玛严贡镇区（第一选区）省议会代表吴敏登吞提出的有关赌博问题作出上述说明。 他表示，当局正持续监控并打击利用合法电信运营商网络发布赌博广告、发送赌博相关短信等行为，并将对发现的异常号码采取相应措施。民众如发现可疑电话号码，也可向有关部门举报。 据介绍，当局将以下行为认定为异常短信发送行为：同一电话号码在1小时内向60个号码发送相同内容的短信，或在24小时内向1000个号码发送短信。 截至2026年6月30日，已有399078个电话号码因涉嫌发送与在线赌博相关的可疑短信被永久关闭。 ———————————— 天成担保广告赞助商😆 🔥此广告栏…
Signed 天成担保二组业务员 天权
#国内资讯 刘某等8人偷渡至缅甸组建数百人犯罪集团，针对中国境内超千名被害人实施裸聊敲诈勒索，对不配合者向其亲友散布裸照及侮辱信息，8人获刑 8月26日，海南省海口市中级人民法院依法对刘某等8人恶势力犯罪集团一案进行二审宣判。 经审理查明，2020年至2024年期间，上诉人刘某等8人受他人纠集，偷渡至缅甸佤邦地区，组建规模达数百人的恶势力犯罪集团。该犯罪集团利用信息网络平台，针对中国境内超千名被害人实施裸聊敲诈勒索，对不配合者，公然向其亲友散布裸照及侮辱信息，严重侵害公民人格尊严与财产安全，造成恶劣社会影响，涉案金额特别巨大。 2026年5月9日，原审海口市美兰区人民法院根据各被告人的犯罪事实、性质、情节以及社会危害程度，依法作出一审判决，对刘某等8人以犯敲诈勒索罪、寻衅滋事罪、偷越国（边）境罪，数罪并罚，分别对8人判处有期徒刑十二年六个月至十年三个月不等刑罚。 二审审理期间，海口中院全面审查案件事实、证据及上诉理由，…
Signed 天成担保二组业务员 天权
#柬埔寨 波贝皇家财富旁巷子里金按摩后方正在突袭，附近打野的人员赶紧回避 柬埔寨波贝市皇家财富旁边的巷子、金按摩后方区域，执法人员正在开展突击清查行动。 近期波贝持续高压打击隐蔽电诈窝点、非法据点，本次行动会对周边区域进行封锁排查，周边零散游荡、打野的人员务必及时远离该区域，避免被现场盘查波及，不要在附近逗留围观，防止卷入执法现场。 ———————————— 天成担保广告赞助商😆 🔥此广告栏位暂空，火热招租
Signed 天成担保二组业务员 天权
#国际新闻 特区通知 特区范围内所有会所、按摩等行业及相关营销人员、个人，禁止在线上线下及社交平台发布不雅图片、文字、价格等招揽信息，包括相关招牌广告。 各娱乐场所人员禁止在店门口揽客，存在相关行为的请立即整改。下周将统一开展检查，如发现违规宣传、揽客等行为，相关店铺将停业整顿。 ———————————— 天成担保广告赞助商😆 🔥此广告栏位暂空，火热招租
Signed 天成担保二组业务员 天权
从柬埔寨转移到马来西亚，中国人偷渡泰国每人2000美元 泰国移民局近日捣毁一个跨国偷渡团伙，该团伙涉嫌帮助中国人从柬埔寨非法进入泰国，再辗转偷渡至马来西亚从事电诈活动。 案件最早于6月在宋卡府曝光，当时警方在一家度假村发现6名中国人和1名缅甸人，并查获20多部手机。警方随后顺藤摸瓜抓捕其他成员，称该团伙已运作一年多，涉案金额600万至1000万泰铢，每运送一名中国人可收取约6.5万泰铢，折合约2000美元。 ———————————— 天成担保广告赞助商😆 🔥此广告栏位暂空，火热招租
Signed 天成担保二组业务员 天权
西藏军区派出救援兵力赶赴吉隆口岸 8月26日上午，尼泊尔一侧发生泥石流灾害，造成西藏日喀则市吉隆县吉隆口岸重大人员伤亡及失联。 西藏军区日喀则军分区某部已陆续派出应急救援兵力赶赴现场，第二梯队及工程机械设备也已做好出动准备。 目前，食物、饮用水、帐篷和药品等救援物资已经就位，救援力量将全力搜救失联人员，并排查滑坡、山洪等次生灾害风险。 ———————————— 天成担保广告赞助商😆 🔥此广告栏位暂空，火热招租
Signed 天成担保二组业务员 天权
#缅甸诈骗园区升级：全面引入 AI 技术，犯罪效率呈指数级暴增 近日，据量子位（QbitAI）及安全机构 C4ADS 披露，缅甸妙瓦底等地的“杀猪盘”与电信诈骗园区正全面借助 ChatGPT、Gemini 等 AI 工具实施跨国诈骗。 📌 核心要点总结： AI 扮演“效率倍增器”：目前诈骗分子主要利用 AI 进行多语言翻译、文本润色、话术生成及批量群聊，大幅提升作案效率。 AI 比人类更易骗取信任：研究显示，在 7 天的实验中，46% 的受害者下载了 AI 推荐的软件（人类推荐仅占 18%），AI 组的信任评分（3.78分）也高于人类组（3.31分），且 95% 的人无法辨别对方是 AI。 走向“工业化、全自动化”：不法分子通过数十个假账号同时操作，单人即可锁定上百目标。未来随着 AI 代理（AI Agents） 的普及，犯罪团伙对人工的依赖将减少，但受害者规模可能面临成倍激增的风险。 行业警示：网络犯罪、加密货币与 …
Signed 天成担保二组业务员 天权
Showing the 12 most recent of 119 posts we hold for @jiudingguanfang. 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.
Named by 14 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.
Named by
Channels on the register whose posts name this channel's handle.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“天成担保—东南亚新闻” (@jiudingguanfang), 8,798 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/jiudingguanfang.
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.