Channel
@HRDSJJK
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
109subscribers
+2 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001654502735 |
|---|---|
| Type | Channel |
| Username | @HRDSJJK |
| Created | Between 1 December 2021 and 31 May 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 25 August 2026 |
| On Telegram | t.me/HRDSJJK |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Aug 2026, 18:26 | 109 | +2 |
| 12 Aug 2026, 19:18 | 107 | no change |
| 12 Aug 2026, 15:02 | 107 | first reading |
16 posts held, back to 25 July 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 1 pageof 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 12 August 2026 |
|---|---|
| Posts held | 16 (25 July 2026 – 12 August 2026) |
| Views total | 1 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 15:02 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.
Measured directly from 4 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.
🚀加入极搜互推一起赚钱🚀 车队：100+ 12组 2.83k 菲律宾热点新闻【东南亚一手新闻】 2.18k 精液四射① 1.01k 🔞调教丨绿帽丨人妻丨少妇 107 抖音美女少妇跳舞视频引流 423 偷拍|母狗|熟女|自慰|乱伦 588 🥇🥇🥇温州商务ktv—情趣游戏真空场 300 🥇🥇🥇西安商务ktv——游戏情趣镇箜场 298 爱吃瓜🍉吃瓜🍉搞笑😃猎奇😓软色情 1.02k ❤️内射白虎高中生❤️ 1.22k 男技师/少妇/按摩/偷拍视频🍓😍 383 【全新休闲会所最全面出击报告榜】 246 南京商务ktv游戏情趣镇箜场 244 成都商务ktv，游戏情趣镇箜场 366 武汉商务ktv特色场游戏情趣镇箜场 154 日本二次元 色淫外流 @老司機A片 311 Ai一键脱衣明星网红视频换脸 1.55k 二次元💋带劲漫画🥳 224 文案館｜治癒生活老師・貓七 🌿 103 🔞探花|国产|高清|精选| …
#国内资讯 #携程 强推独家合作和 #全网最低价 被罚没51.79亿元 7月25日，国家市场监管总局通报，携程因滥用市场支配地位，被没收违法所得16.58亿元、罚款35.21亿元，罚没合计51.79亿元，并须退还酒店经营者1.22亿元订单储备金。 调查认定，携程自2020年以来在国内在线酒店预订平台市场份额长期超过50%。平台要求部分“特牌”酒店只能与携程独家合作，限制其在其他平台经营；同时强制部分酒店提供“全网最低价”。 携程还通过“调价助手”等工具监测其他平台价格，发现价格更低时直接调价。对不配合的酒店，则采取限流、降级、摘牌、扣除储备金等措施。 市场监管总局认为，这些做法限制酒店自主选择平台和定价，也排挤正常竞争。携程被责令立即停止违法行为、全面整改并公开整改措施。携程回应称接受处罚，将逐项落实整改。 🔥📢一键加入极客社区"你想要的这里都有”
#重庆 从 #柬埔寨 和 #老挝 押解1800名涉诈人员 据重庆市政府新闻办7月24日2026年全市反诈工作新闻发布会，今年以来，重庆全市电诈警情数、立案数、损失数同比分别下降38%、36.4%、43%，破案数、涉案人员打击处理数同比分别上升124.2%、43.9%，累计为群众守住超8亿元潜在被骗资金。 今年以来，重庆警方统筹境内境外“两个战场”，成功打掉境内外电诈犯罪团伙198个，特别是彻底摧毁长期盘踞缅甸北部、严重危害我国公民生命财产安全的“徐老发”特大武装电诈犯罪集团；先后从柬埔寨、老挝押解1800余名涉诈人员回渝，其中97.7%被依法逮捕，境外诈骗团伙的生存空间被进一步挤压。 🔥📢极客社区总频关注不迷路
#国内资讯：60余人落网！#山东烟台莱州市公安成功打掉一个网络直播诈骗团伙！ #莱州市 公安局7月23日对外披露案件详情：近日，莱州市公安局结合烟台市“齐鲁守护·夏季攻势”专项行动，开展跨省集群收网，奔赴江苏常州成功打掉一个依托直播间售卖玉石、以高价回收、抽奖模式引流实施诈骗的犯罪团伙，一举抓获嫌疑人60余名，现场查获玉石、首饰、小家电等涉案物品一批。 5月11日，莱州市公安局刑侦大队获取警情，文峰路街道杨女士在微信直播间购买物品时被骗人民币3万余元。接警后，民警围绕网络流、资金流顺线追踪研判，并对接烟台市公安局开展技术支撑，锁定位于江苏省常州市武进区创业园内、以冯某、李某为首的直播诈骗团伙。 经实地侦查核实，该团伙通过售卖玉石、承诺高价回收、举办抽奖活动吸引客户充值，诱导受害人转账后失联，警方初步锁定涉案人员40余名。 7月13日，抓捕时机成熟，莱州公安抽调40余名精干警力组成专案组奔赴常州开展跨省收网。行动期间恰逢台风过境，…
#网友爆料 #金边 #金爵皇朝国际娱乐会所 领班 li bai 第一天把骗妹妹去上班，拉到家里把人家强奸了，妹妹要200和解，领班不给，现在妹妹的老公 已经带刀去砍人了。 自古多情出人命，不信你问西门庆，没事别乱搞 💬广告商务对接联系：极客负责人
#柬埔寨资讯 7月25日，波贝有关部门联合检查当地4处地点，其中2处被暂时查封，共发现33名外国人，包括25名印度人和8名中国人，另有1名柬埔寨男子。 此次行动由卜迭棉芷省副省长布拉克·波利带队，检方人员协调相关法律程序。 具体情况如下： 第一处是一栋位于波贝中央市场村的4层建筑，共有16个房间。现场发现25名印度人，其中6名女性，但未发现与网络诈骗有关的可疑设备。执法人员对相关人员进行了教育提醒。 第二处位于波贝巴雷莱2村，为3间相连的两层排屋。现场发现3名中国男子，并查获14部手机和35台一体式电脑。 3名中国男子已被送往波贝警察局接受进一步调查。相关设备被封存并移交省警察局，警方将继续调查房屋业主，并暂时查封该地点。 第三处位于波贝巴雷莱1村，是一栋两层别墅。现场发现5名中国男子和1名柬埔寨男子，并查获18部手机和8台一体式电脑。 5名中国男子已被送往波贝警察局接受进一步调查，1名柬埔寨男子也被带回问话。相关设备被封存并移…
#缅甸征兵 #同性恋也逃不过征兵！缅甸军政府：没有豁免，一律参军 缅甸军政府实施强制征兵法以来，过去两年连同性恋LGBT群体也未能幸免，不少人遭强行抓捕入伍 网上还不断流出LGBT人士身穿军装、接受军事训练的视频，引发关注。 据了解，目前被征召的LGBT人士与男性一起接受兵役安排 虽然《兵役法》规定男女都有服兵役义务，但法律并未对LGBT群体设置任何豁免条款。 🔥📢极客社区总频关注不迷路
#柬埔寨资讯：波贝开展外国人检查行动，发现33名外籍人员，两处涉嫌涉诈场所被查封 7月25日，班迭棉芷省副省长布拉克·波利（Prak Poli）继续带领省级联合工作组，在班迭棉芷省初级法院副检察官穆特·桑帕（Mut Sambath）的协调下，对当地多个外国人居住及活动场所展开实地检查。 此次行动共检查4处地点，其中2处被临时封闭，共发现外国人33名，其中女性6名，涉及两个国籍，包括印度籍25人（女性6人）、中国籍8人（男性），以及1名柬埔寨籍男子。 该行动由班迭棉芷省省长乌姆·拉蒂（Um Rath）和班迭棉芷省初级法院检察官高·文纳烈（Koe Vannareth）统一指挥开展。 据检查报告显示： 第一处地点： 位于波贝市中央市场分区中央市场村的一栋4层建筑，共16间房间。现场发现25名印度籍人员，其中6人为女性。警方检查后未发现与网络诈骗犯罪相关的可疑设备，相关人员主要接受进一步核查和教育。 第二处地点： 位于波贝市巴利莱二村的…
👇👇👇👇👇👇 🔥📢一键加入极客社区"你想要的这里都有”
😄泰国廊开口岸接收67名涉老挝网络博彩遣返人员：多数曾往返柬老从事非法工作 泰国廊开府移民局在泰老第一友谊桥口岸接收67名泰籍人员（含男性和女性），此前因涉嫌在老挝参与网络博彩被老挝当局查获并遣返。调查发现，这批人员曾赴柬埔寨从事网博工作，因柬泰边境冲突返泰后，又相互招募前往老挝万象设立24小时运营博彩基地。 泰方已完成身份核查，未发现人口贩运受害者或在逃通缉犯，将依移民法及劳动法罚款，并建立 “关注名单” 加强监管，防止再次非法出境。此案警示跨国高薪招聘背后的法律风险。案件正依法处理中。
#马尼拉惊现假牛肉‼️24吨违规肉被查，两名嫌疑人落网🚨 #菲律宾 国家调查局（NBI）近日在马拉汶市和纳沃沓斯市突查两处仓库，查获约24吨涉嫌冒充牛肉销售的违规肉类。 据调查，这批肉类从国外进口，通过网络平台以每公斤200至250比索低价出售。警方发现，所谓“牛肉”实际为冷冻猪横膈膜混入牛脂肪加工而成，并伪装成牛肉外观销售。 菲律宾国调局表示，这批肉类总价值约450万至500万比索，若按正常市场价格估算，价值可能达到1000万至1200万比索。 调查人员指出，涉案肉类主要流向小吃店、牛肉汤饭店及汉堡加工商户，部分商家可能因价格低廉而购买使用。 警方称，这批肉类包装缺少标签、保质期及原产国信息，属于违规进口产品，且可能存在食品安全风险，因此全部查扣。 此次行动源于国调局网络巡查发现有人大量低价销售“牛肉”。经过购买样品并送检后，确认其并非真正牛肉，而是不适合人类食用的违规肉品。 目前，两名涉案人员已被捕，包括仓库负责人，并因涉嫌…
#群友投稿：我是一个 #盗飞机 的 #技术人员，有一天盗飞机盗了一个盘口的飞机，后面把他们的飞机基本上都入侵了，看见他们发的台股资料，我就好奇他们盘口赚钱不赚钱，就进了他们所有的后台，原来是做台股的，入金大额的就那几个人，其他人才几千美金，只有个别几个人是上万美金，我也笑了。 他们在飞机上发自己工作的定位，盘口领导也不管管，不知道飞机不能发定位的吗？ 好多人好像用的都是私人飞机，朋友还是家人都在飞机上，这么不专业的吗？不知道会不会电业务们，我先把受害者资料提供出来吧！ 看到同胞们被骗很是不爽，先曝光部分名单，后续我会继续技术跟进，骗骗外国人不好吗？ 都说中国人不骗中国人，怎么专骗中国人😅。我也知道你们位置，如果电业务员请让他们回国，他们也没错，只是为了赚钱。你们的大概窝点我是知道的。 💬广告商务对接联系：极客负责人
Showing the 12 most recent of 16 posts we hold for @HRDSJJK. 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.
Citation-graph rank — 1,015,010 of 1,627,068entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — 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 18 August 2026 — this entry's latest reading, not the date you are reading this.
“华人大事件 极客社区” (@HRDSJJK), 109 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/HRDSJJK.
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.