Channel
@smlkdsj
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
32,727subscribers
-645 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001735251494 |
|---|---|
| Type | Channel |
| Usernames | @rmnnr @smlkdsj |
| Description | ╭——— 利兴核 心 通 道 ——— 🚗利兴官网： lixing.io 🚗利兴钱包： @LXQB 🚗钱包客户： @kkff 🚗利兴博彩： @dodu 🚗利兴公告： @gongao 🚗利兴老板： @soga (嗦嘎） 🚗供需导航： @dbgx 🚗公群导航： @lxdb 🚗公群客服： @kkpp 🚗专群客服： @dduu 🚗仲裁客服： @lxdbc ╰——— 安 全 · 高 效 · |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/smlkdsj |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 17:17 | 32,727 | -9 |
| 13 Aug 2026, 16:28 | 32,736 | -237 |
| 12 Aug 2026, 18:23 | 32,973 | -48 |
| 12 Aug 2026, 14:27 | 33,021 | -128 |
| 11 Aug 2026, 20:32 | 33,149 | -28 |
| 11 Aug 2026, 13:48 | 33,177 | -174 |
| 10 Aug 2026, 17:03 | 33,351 | -14 |
| 10 Aug 2026, 13:08 | 33,365 | -5 |
| 10 Aug 2026, 12:01 | 33,370 | -2 |
| 10 Aug 2026, 12:01 | 33,372 | first reading |
97 posts held, back to 10 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 8 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 5 of 97 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 97 (10 August 2026 – 14 August 2026) |
| Views total | 1,264 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 13:56 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 14 August 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 29 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.
5 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 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 5 of the 97 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 10 August 2026 to 14 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.
#菲律宾资讯：PAGCOR推 最低保底费！中小博彩运营商或加速出局 菲律宾博彩监管机构PAGCOR的线上博彩运营商最低保底规费制度已于2026年7月1日正式实施，所有持证博彩系统服务商都将面临新的月度最低缴费要求。 新规分阶段提高收费标准。2026年7月至12月，涉及线上赌场业务的服务商，月度博彩总营收达到3000万比索，每月最低缴纳900万比索；不涉及线上赌场的服务商，月度营收达到1500万比索，最低缴纳300万比索。 2027年起，收费标准进一步提高。线上赌场服务商月度营收门槛升至3500万比索，对应最低保底费1050万比索；其他服务商门槛升至2000万比索，最低缴纳400万比索。 PAGCOR表示，此举旨在提高收费透明度和行业规范程度。业内人士则认为，高额固定成本可能加速中小运营商退出，行业将进一步向头部企业集中。 目前菲律宾仅剩约60家持证服务商，其中15至20家头部企业占据超过八成行业营收。随着监管和成本持续…
#群友爆料：报瓦交克雷度假村，全都是黑公司，高价赔付，赔付拉满。里面全是做国盘的，希望早上拔出此园区。 妙瓦底那边的公司都搬这里来了，希望中方关注，DKBA保护。交克附近园区基本上都清空了，而这里每天都有公司搬进来。这里号称比KK园区还硬，国内很多失踪、被绑架的人被送到这里，未成年人都有，还有很多女孩子，各个国家的都有。 这里面基本上都是国内盘、资金盘，军包，公司打死人，园区物业都不会管。希望中国警察、FBI快点来解救这里的同胞。 #柬埔寨 #缅甸 #东南亚 #吃瓜新闻 #东南亚新闻 ======================================= 🔗TG项目交流社区👇🏻 📣吃瓜新闻：@rmnnr 💬交流群： @TFPG2 📣相亲交友: @dingguagua121 👉🏻广告招商：@xmxum 👉🏻免费投稿: @lixingdbBot
#干货分享：狗推反侦察篇之如何面对审讯 很多推子回国在里面撑不过几轮问话，就是因为不知道对方在用什么方法。今天把审讯室里最常见的套路拆开讲，希望各位分析师学会了都能应对 一、环境施压：从进门的瞬间就开始了 你走进审讯室的那一刻，压力就已经开始了。 封闭的空间：没有窗户、没有时钟，你感知不到时间的流逝，这种“失重感”会让人极度焦虑。 不对等的位置：你的椅子通常是固定的、低矮的，办案人员的桌椅更高、更舒适，一高一低之间，心理落差就出来了。 冰冷的氛围：灯光、墙壁、桌椅，一切都是冷色调的。这就是“情境营造法”，通过严肃的审讯环境对你形成心理震慑。 形体语言施压：审讯人员可能会用逼视的目光直视你、用手指叩击桌面，这些动作都在给你施加心理压力，让你感受到“威慑力量”。 你的策略：意识到这些都是“环境设计”，不是针对你个人的。保持冷静，不要被氛围吓住。 二、信息不对称战术：让你自己吓自己 你在里面，不知道外面发生了什么；你…
#群友投稿：金边《城际酒店》黑心商家，还是华住会旗下的，专门逮着中国人坑。避雷，真的避雷！只要是中国人，都离这个酒店远一点。 在这个酒店里住了10天，枕套上有污渍，要赔90美金，完全就是漫天要价。 第一天的时候，朋友来找我玩，他抽烟的时候把烟灰缸打翻了，弄到了被子上还有床单上。我叫来了前台工作人员，赔了30美金，很合理。毕竟弄脏了，清洗也麻烦。 然后住了两天以后，玻璃自爆了。自爆的时候，我立马叫来了工作人员保护现场，担心最后赖到我身上。结果还是要赔钱。 一开始，玻璃门要赔500美金，最后谈下来赔了300美金。 最可恨的是，我叫打扫房间的人来打扫卫生，他看到枕头套上有一点点污渍，都没有渗透到枕芯里面。可能就是在房间里吃东西的时候，不小心抹了一滴油上去，而且颜色很淡，不仔细看根本都看不到。 结果那个打扫房间的人立马叫前台过来，跟我说枕套上面有污渍，要我赔90美金。 一天的房费才80美金，一个枕套他敢要90美金，是想钱想…
#群友投稿：起因：昨晚一夜未眠，早上精虫上脑，就刷 Tinder 约了个柬妹。 精虫上脑，在一声声“哥哥你好帅，你为什么这么帅”的捧杀中迷失了自我，就同意了妹妹主动发起的约会邀约。 我提出去咖啡厅见面，先喝杯咖啡了解一下彼此，她以“不喜欢喝咖啡”为由推掉了，让我直接去她房间找她。 我出于安全顾虑，提出让她来接我，她也欣然接受了。随后问我要了飞机号，添加后发送定位，说 5 分钟到，问我拍照在哪等她。 发给她照片后，5 分钟左右，有几个国人直直走向我，毫不遮掩地盯着我的脸看了几秒，随后假装路过离开。 等了十几分钟还没有消息，我感觉有些奇怪，就说外面太晒了，准备回酒店前台等，没有继续站在路边。 25 分钟过去了，依旧没有动静。大约 40 分钟左右，她发信息说已经到了，催我上车。 当时我已经起疑，于是提出自己头晕、不舒服，先去前台沙发坐一下，买瓶葡萄糖缓解一下。 她一开始死活不愿意，哄了几句之后，发现我没有上车，就开始进…
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#群友投稿：泰国发生恶性绑架杀人案，嫌疑人齐鑫鹏作案后潜逃 8月7‑8日，泰国发生一起恶性刑事案件。嫌疑人齐鑫鹏伙同两名缅甸籍人员、两名中国人，于KTV门口将其老板绑架，之后诱骗老板女友前往别墅，逼迫二人交出钱财密码，随后将两人杀害，尸体掩埋于泳池下方，嫌疑人作案之后出逃失联。 齐鑫鹏跟随受害人工作已有半年，受害老板名下拥有约800万美金资产，其女友持有约16万美金。案发之后，齐鑫鹏安排一名中国人与一名缅甸人前往受害人公寓搬走保险柜，本人在外接应。保险柜内有三根金条、150万泰铢以及若干美金。 齐鑫鹏，1998年10月8日出生，籍贯河北邯郸涉县，所持中国护照已经办理挂失，还持有另一本护照，目前处于失联潜逃状态。受害人家属仍在寻找两名被害人，有知情人士掌握案件线索，但暂时无法联系上被害人家属。 相关线索建议提交给泰国警方以及国内公安、中国驻泰国使领馆，交由官方开展侦查工作。 #柬埔寨 #缅甸 #东南亚 #吃瓜新闻 #东南…
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#群友投稿：很多人估计没看懂，我详细给各位在国内的推子们解读一下，主要是针对国内企业的，和个人关系不大。 ① 查谁？网络运营者、数据处理者、个人信息处理者。 → 只要你公司有网站、APP、小程序，处理用户数据，都算。 ② 怎么查？线上巡查 + 线下核查，日常检查 + 专项检查。 重大活动期间，会加重点检查。 ③ 查什么？你有没有履行《网络安全法》定义务。 数据安全保护措施到不到位。 个人信息处理合不合规。 ④ 联合检查，不重复跑。公安会跟网信、行业主管部门联合检查。 提前告知，减少对企业正常经营的干扰。 ⑤ 查完怎么办？督促整改 → 发公安提示函 → 处罚。 鼓励线上巡查，减少现场检查对企业的影响。 ⑥ 远程检测有门槛。渗透测试、漏洞探测这类操作，必须由地市级以上公安机关实施。 不是随便哪个派出所都能搞。 老板现在该做3件事： 检查公司隐私政策和数据安全制度是否完善。 确认个人信息处理是否有合规流程…
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Showing the 12 most recent of 97 posts we hold for @smlkdsj. 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 — 1,097,401 of 1,340,412entries 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.
@smlkdsj named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“利兴担保@lxdb 新闻频道” (@smlkdsj), 32,727 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/smlkdsj.
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.