164名涉网诈及毒品违法犯罪中国籍人员被柬埔寨遣返回国 昨天,柬移民局调查与程序执行局在德崇国际机场通过包机将164名(含1名女性)中国籍人员遣返回国。 据悉,上述人员因涉嫌非法入境、非法务工、吸毒及从事违法网络诈骗等被查获。
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Channel
@redianqingbaoshe
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
80,712subscribers
-4,189 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001256199679 |
|---|---|
| Type | Channel |
| Username | @redianqingbaoshe |
| Description | #吃瓜 #热点事件 #猎奇 频道内容来自推特、微博、知乎等公开平台 防失联(回家的路): @ppxxx |
| Created | Between 1 March 2018 and 31 August 2021 — 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 | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/redianqingbaoshe |
Other / unclassifiable — 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 50% 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, 10:40 | 80,712 | -164 |
| 15 Sept 2026, 07:18 | 80,876 | -202 |
| 13 Sept 2026, 12:58 | 81,078 | -185 |
| 11 Sept 2026, 19:18 | 81,263 | -285 |
| 9 Sept 2026, 06:56 | 81,548 | -288 |
| 5 Sept 2026, 22:00 | 81,836 | -219 |
| 3 Sept 2026, 16:38 | 82,055 | -112 |
| 2 Sept 2026, 11:14 | 82,167 | -128 |
| 1 Sept 2026, 11:03 | 82,295 | -76 |
| 31 Aug 2026, 10:36 | 82,371 | -83 |
| 30 Aug 2026, 09:38 | 82,454 | -91 |
| 29 Aug 2026, 11:19 | 82,545 | -98 |
| 28 Aug 2026, 13:52 | 82,643 | -80 |
| 27 Aug 2026, 14:03 | 82,723 | -88 |
| 26 Aug 2026, 13:43 | 82,811 | -82 |
| 25 Aug 2026, 16:42 | 82,893 | -95 |
| 24 Aug 2026, 18:25 | 82,988 | -162 |
| 23 Aug 2026, 03:08 | 83,150 | -133 |
| 21 Aug 2026, 15:16 | 83,283 | -95 |
| 20 Aug 2026, 16:45 | 83,378 | first reading |
402 posts held, back to 6 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 106 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 230 of 254 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 September 2026 |
|---|---|
| Posts held | 402 (6 August 2026 – 20 September 2026) |
| Views total | 109,100 |
| Reactions total | 936 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 15:53 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 24 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 135 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.
1,568 reactions across 367 posts, in 19 distinct kinds. The most used accounts for 31.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 495 | 31.6% | |
| 🤡 | 435 | 27.7% | |
| ❤ | 426 | 27.2% | |
| 💯 | 103 | 6.57% | |
| 🔥 | 52 | 3.32% | |
| 🤯 | 23 | 1.47% | |
| 🙏 | 10 | 0.638% | |
| 🎉 | 5 | 0.319% | |
| 💩 | 5 | 0.319% | |
| 🍓 | 2 | 0.128% | |
| 🕊 | 2 | 0.128% | |
| 😨 | 2 | 0.128% | |
| 🥴 | 2 | 0.128% | |
| 🌚 | 1 | 0.064% | |
| 😈 | 1 | 0.064% | |
| 😭 | 1 | 0.064% | |
| 😱 | 1 | 0.064% | |
| 😴 | 1 | 0.064% | |
| 🤨 | 1 | 0.064% |
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 369 of the 402 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 1,568 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 402 most recent posts we hold, published 6 August 2026 to 20 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @redianqingbaoshe. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 402 most recent posts we hold for this entry, published 6 August 2026 to 20 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
164名涉网诈及毒品违法犯罪中国籍人员被柬埔寨遣返回国 昨天,柬移民局调查与程序执行局在德崇国际机场通过包机将164名(含1名女性)中国籍人员遣返回国。 据悉,上述人员因涉嫌非法入境、非法务工、吸毒及从事违法网络诈骗等被查获。
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老挝推进全国收缴非法枪支弹药 为维护社会安全及促进国家发展,老挝正全面落实总理及主管部门指示,在全国范围内强力推进非法枪支、军用武器及爆炸物的收缴工作。 此前,非法使用武器引发的抢劫、恐吓及暴力杀人等案事件严重威胁民众生命财产安全。官方强调,收缴和严格管控非法武器对预防犯罪、降低暴力风险及保障人民安全至关重要。
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#马来西亚新闻 马来西亚民主行动党秘书长陆兆福宣布将辞任交通部长,以表达该党对前首相纳吉获准居家服刑一事的立场。
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#柬埔寨新闻 柬埔寨政府启动耗资3000万美元的电子垃圾管理计划,目标五年内减少电子垃圾,加速向循环经济转型。计划获政府和私人合作伙伴2600万美元联合融资及全球环境基金400万美元赠款,由柬埔寨与联合国开发计划署合作推进。
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Showing the 12 most recent of 402 posts we hold for @redianqingbaoshe. 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.
@redianqingbaoshe edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
@redianqingbaoshe 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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.
“热点情报社” (@redianqingbaoshe), 80,712 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/redianqingbaoshe.
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.