博彩圈-新闻 pinned a photo

Channel
博彩圈-新闻
@smlkdsj
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
14,817subscribers
-18,555 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001735251494 |
|---|---|
| Type | Channel |
| Usernames | @rmnnr @smlkdsj |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/smlkdsj |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 02:16 | 14,817 | -36 |
| 1 Oct 2026, 22:21 | 14,853 | -1,245 |
| 25 Sept 2026, 08:35 | 16,098 | -11,244 |
| 18 Sept 2026, 08:39 | 27,342 | -19 |
| 17 Sept 2026, 10:19 | 27,361 | -74 |
| 15 Sept 2026, 23:37 | 27,435 | -90 |
| 15 Sept 2026, 12:56 | 27,525 | -384 |
| 14 Sept 2026, 05:15 | 27,909 | no change |
| 14 Sept 2026, 00:22 | 27,909 | -275 |
| 12 Sept 2026, 12:36 | 28,184 | -74 |
| 12 Sept 2026, 05:41 | 28,258 | -469 |
| 10 Sept 2026, 08:39 | 28,727 | -56 |
| 9 Sept 2026, 23:00 | 28,783 | -264 |
| 7 Sept 2026, 00:37 | 29,047 | -49 |
| 6 Sept 2026, 17:19 | 29,096 | -149 |
| 4 Sept 2026, 13:18 | 29,245 | -2 |
| 4 Sept 2026, 04:01 | 29,247 | -80 |
| 2 Sept 2026, 23:59 | 29,327 | -43 |
| 2 Sept 2026, 15:23 | 29,370 | -116 |
| 1 Sept 2026, 18:23 | 29,486 | first reading |
Engagement
637 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 60 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.18%
- avg views ÷ 14,817 subscribers
- Avg views / post
- 175
- 19 posts measured
- Reaction rate
- 0.209%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 637 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 2 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 637 (10 August 2026 – 24 September 2026) |
| Views total | 3,332 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 11:36 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
- Video runtime
- 1h 45m
- Average length
- 34s
Measured directly from 187 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
35 reactions across 35 posts, in 2 distinct kinds. The most used accounts for 94.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 33 | 94.3% | |
| 👍 | 2 | 5.71% |
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 38 of the 637 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 35 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 637 most recent posts we hold, published 10 August 2026 to 24 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.
Recent posts
😢重金寻找内部工作人员😢 😊云搜部门普通权限月收入最低七位数 😊云搜高级权限月收入最低七位数 😊反诈高级权限月收入最低七位数 👮网安权限月收入最低七位数 🧑⚖️法院执行部月入最低七位数 🏦银行柜台高级权限月收入最低 📦各类快递全国权限月收入最低六位数 😃民政部门普通权限月收入最低六位数 🔰 害怕出事?害怕系统留痕迹? 本团队旗下合作多位老民警安全合作近3年,来自老同志的安全措施方法,系统漏洞轻松去除公安水印。 🔰现金变现方法 提供虚拟货币混币转暗网币安全洗钱方式以及应对突发事件如何巧妙处理方案 。 😎如果您平时在单位,仅负责干一些登记记录的事,何不如做点安全副业,维持家用? 🉐 人生漫漫长路,何不如快别人一步享受人生?甘愿让自己老婆羡慕别人家媳妇?忍心让自己孩子输在起跑线上? 🥰恭候您的加入 共同捞金! 客服:@TY_GFCD 限制联系:@TLHZbot
😢重金寻找内部工作人员😢 😊云搜部门普通权限月收入最低七位数 😊云搜高级权限月收入最低七位数 😊反诈高级权限月收入最低七位数 👮网安权限月收入最低七位数 🧑⚖️法院执行部月入最低七位数 🏦银行柜台高级权限月收入最低 📦各类快递全国权限月收入最低六位数 😃民政部门普通权限月收入最低六位数 🔰 害怕出事?害怕系统留痕迹? 本团队旗下合作多位老民警安全合作近3年,来自老同志的安全措施方法,系统漏洞轻松去除公安水印。 🔰现金变现方法 提供虚拟货币混币转暗网币安全洗钱方式以及应对突发事件如何巧妙处理方案 。 😎如果您平时在单位,仅负责干一些登记记录的事,何不如做点安全副业,维持家用? 🉐 人生漫漫长路,何不如快别人一步享受人生?甘愿让自己老婆羡慕别人家媳妇?忍心让自己孩子输在起跑线上? 🥰恭候您的加入 共同捞金! 客服:@TY_GFCD 限制联系:@TLHZbot
频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1001735251494_1653713751_groups_87970679
刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1001735251494_1653713751_channels_0aff951f
在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1001735251494_1653713751_221c3c85
SOSO 搜搜 把 Telegram 搜索和发现放在一个入口。 想继续找频道、群组、帖子或贴纸,直接输入关键词。 也可以从发现页继续浏览同类入口。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1001735251494_1653713751_soso_84698656
新群变化快,手动找很容易漏。 SOSO 会展示最近同步的新群入口,适合快速补充新的群组来源。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1001735251494_1653713751_newgroups_fcedbcf6
频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1001735251494_1653713751_groups_87970679
#突发事件:老挝万象湖南大酒店刚刚被抓了一批狗推,目前全在大厅待着。 关注大事件频道➡️ @Svip 投稿:@tx188
#最贵的网恋:花了800多万,手都没摸到过。 关注大事件频道➡️ @Svip 投稿:@tx188
❤1
#网友投稿:某些公司,说白了,就是一种扭曲的“操逼型公司”。 你不参与肉体关系,就只能老老实实干活:负责技术、负责项目、解决问题。出了事,还要背锅,承担大部分责任和压力。 可与此同时,有些人却通过和客户、老板、股东、领导发生肉体关系,获得普通员工难以得到的钱、资源和职位。 最讽刺的是,真正创造价值的人负责劳动,真正解决问题的人承担责任,而参与肉体关系的人却掌握着利益分配。 如果真把公司经营好了,真赚到了钱,有了钱,外面什么样的美女不能认识?为什么非要把自己的生意、公司资源和私人欲望搅在一起? 真正该被质问的,不是谁的身体,而是那些掌握公司的老板:为什么要把自己的私人欲望带进公司的利益和规则? 更应该想清楚的是:那些围绕权力和利益建立起来的私人关系,究竟有多少是真正的感情,又有多少只是资源交换?今天可以围绕你,明天同样可能围绕拥有更多资源和权力的人。 说到底,你开公司到底是为了什么?不就是为了赚钱、创造价值、把生意做…
Showing the 12 most recent of 637 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.
Mentions
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 60 posts, 11 August 2026 – 18 August 2026
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“博彩圈-新闻” (@smlkdsj), 14,817 subscribers as measured 4 October 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.