Telegram RegisterThe public register of Telegram
Telegram profile photo for 热点情报社

Channel

热点情报社

@redianqingbaoshe

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

79,632subscribers

-5,269 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001256199679
TypeChannel
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
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/redianqingbaoshe

Topic

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 the other topics.

Growth

77,80984,90181,35579,6327 August 20268 November 2026
62 measurements spanning 93 days, net -5,269. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 76,745–85,965 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
8 Nov 2026, 07:1879,632+31
7 Nov 2026, 02:1979,601+67
5 Nov 2026, 22:5679,534+62
4 Nov 2026, 19:2979,472+59
3 Nov 2026, 18:4179,413+55
2 Nov 2026, 20:3179,358+77
1 Nov 2026, 21:4979,281+53
31 Oct 2026, 22:1079,228+58
30 Oct 2026, 21:4779,170+42
29 Oct 2026, 22:0079,128+71
28 Oct 2026, 21:2879,057+73
27 Oct 2026, 22:0778,984+101
26 Oct 2026, 21:2578,883+109
25 Oct 2026, 22:3878,774+251
24 Oct 2026, 22:0678,523+142
23 Oct 2026, 19:0578,381+189
22 Oct 2026, 16:0478,192+248
21 Oct 2026, 08:3677,944+135
20 Oct 2026, 06:1177,809-60
19 Oct 2026, 06:2777,869first reading

Engagement

623 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 198 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.501%
avg views ÷ 79,632 subscribers
Avg views / post
399
181 posts measured
Reaction rate
0.607%
reactions ÷ views · ER floor
Posts in window
181
of 623 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 106 of 181 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held623 (6 August 2026 – 7 November 2026)
Views total72,206
Reactions total320
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 11:32 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

Photos
≈4,550
Videos
≈2,840
Links
≈134

Lifetime counters from Telegram’s own channel header, read 9 November 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.

Video runtime
2h 48m
Average length
51s

Measured directly from 199 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

2,087 reactions across 504 posts, in 26 distinct kinds. The most used accounts for 33.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍68933.0%
❤50524.2%
🤡48123.0%
💯1788.53%
🔥1155.51%
🤯612.92%
🙏110.527%
🎉50.24%
💩50.24%
😨50.24%
🌚40.192%
👎30.144%
🤩30.144%
🍓20.096%
🕊20.096%
😁20.096%
😢20.096%
😭20.096%
😱20.096%
🤣20.096%
6 further kinds80.383%

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 507 of the 623 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 2,087 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 623 most recent posts we hold, published 6 August 2026 to 7 November 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
1
of 623 we hold a reading for · 0.2%
Most on one post
3
single highest reading

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 623 most recent posts we hold for this entry, published 6 August 2026 to 7 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 181 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 18:51 UTC842 views2 reactionsread 9 November 2026
Photo

受害者维权:柬埔寨波贝宝龙21号院电诈园区受害者实名曝光 本人福建泉州人,持证闽南菜厨师,以下全部亲身经历,无半句虚假。 一、被骗经过 江苏籍主管阿金,以招聘出境厨师为名诱骗我出国。半路遭三人拦截绑架,护照被没收,直接押入柬埔寨波贝宝龙四合院21号院。 二、遭受迫害 1. 逼迫我参与电信诈骗,我坚决不从,遭阿金连续殴打四天,关小黑屋七天。 2. 团伙勒索3万美金赎金,仅允许我给家里打一通电话。 3. 关押期间我父亲离世,我跪地恳求回国奔丧。当时台长驻场园区,亲自下令禁止我奔丧,由顺利冷血执行。 三、团伙架构 - 幕后老板:老蒋(漳浦籍),藏匿马来西亚远程操控。团伙最早在佤邦起家,缅甸万海当阳作恶,之后整伙迁至柬埔寨波贝宝龙9、21、22号院。老蒋和三正集团老板大姚为结拜兄弟,大姚在缅泰一带臭名远扬;台长同样是老蒋结拜兄弟。小道消息传闻,该团伙现今部分产业转移至缅甸三佛塔继续作恶。 - 台长(漳浦籍):马来西亚、波贝…

👍1🙏1

7 Nov 2026, 18:50 UTC615 views1 reactionsread 9 November 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5082267572

👍1

7 Nov 2026, 18:50 UTC555 views1 reactionsread 9 November 2026
Photo

马来西亚新山一KTV,清晨时又被突击检查了,带走了很多妹妹。 马来的黄扫不完啊,各位的老婆都被带走了😭

👍1

7 Nov 2026, 18:50 UTC515 views2 reactionsread 9 November 2026
Photo

比亚迪在柬埔寨启用海外首个闪充站 9分钟可充电至97% 比亚迪(BYD)在金边6A国道站举行闪充网络首发仪式,海狮6 EV闪充版现场展示了9分钟内将电量从10%充至97%的技术。柬埔寨由此成为中国本土外首个部署该技术的国家。 首批18座闪充站将于2026年底前在金边、暹粒及西港省等地建成,并计划于2027至2028年实现全国覆盖。此前比亚迪已投资3200万美元在西港建厂,以此积极响应柬政府2030年3万辆电动汽车的发展目标。

👍2

7 Nov 2026, 18:49 UTC474 views1 reactionsread 9 November 2026
Photo

抖音反诈博主何希哥 大号已经炸了 可能坐实了搞剧情摆拍的事 不过,小号现在起的很猛 粉丝快5万了 何希哥说要到抖音总部解释清楚 是不是还要张一鸣接待一下? 之前有个博主把他开盒 说这哥们以前在国内 因为强奸、抢劫、贩卖毒品等被判刑过2次 如果属实的话, 那必须大大的对这个人打个问号 因为我不太相信改过自新这回事

👍1

7 Nov 2026, 18:48 UTC397 views1 reactionsread 9 November 2026
Photo

昨晚,新任美国大使抵达金边 美国驻柬埔寨大使馆今天凌晨发布消息:新任美国驻柬埔寨特命全权大使克里斯托弗·安德森已于昨晚抵达金边,正式开启其履职生涯。 今年6月1日,安德森被正式提名为新一任美国驻柬埔寨大使。8月7日,美国国会参议院正式投票通过了对安德森出任美国驻柬埔寨特命全权大使的提名确认。今年9月中旬,安德森在美国华盛顿特区完成宣誓就职仪式。 今年7月份,安德森在美参议院出席听证会时表示,他将把打击柬埔寨的诈骗产业作为其上任后的首要任务。

❤1

7 Nov 2026, 18:47 UTC357 views1 reactionsread 9 November 2026
Photo

缅甸掸邦“孟瑙”捣毁电诈网赌窝点,抓获17名中国籍嫌疑人! 缅媒报道:11月6日上午,由执法力量组成的联合工作组开展专项突击清查行动,在掸邦南部孟瑙镇万利村一带,成功端掉一处藏匿于此的网赌电诈窝点。 据通报,本次行动共抓获17名中国籍涉案人员。 行动现场查获大批作案工具,包括电脑20台、各类手机50部、星链(Starlink)卫星互联网设备5台、发电机1台及配套涉案设备,并查封涉案临时建筑。 目前,相关部门正对嫌疑人展开审讯调查,将依法追究责任,涉案物资按规定处理。

👍1

7 Nov 2026, 18:38 UTC176 viewsread 9 November 2026
Photo

🔥🔥香草AI ♥ 全网最火性爱游戏 🔞 色爆!最顶级的中文色情大模型 深度学习千万部色情小说和真人文爱记录,技术领先全行业18个月 💖 好玩!最懂你感情和性趣的伴侣 基于MIT情感计算框架,超强拟真,无限还原现实,实现你的任何幻想 ✅ 私密!最安全隐匿的专属陪伴 AES-256军事级加密,信息阅后即焚,只属于你的禁忌性爱 💋 全性癖专属定制!满足一切幻想 强x女高 电车痴汉 浪漫纯爱 母狗调教 精神控制 催眠恶堕 绿帽人妻 群P换妻 时间停止 强制高潮 感官剥夺 克鲁苏 SM调教…… ❤️‍🔥❤️‍🔥 免费开玩!点击调教反差母狗 🎁🎁 【限时专享】首充低至五折! PS:兄弟们,这AI太离谱了!跟真人一模一样,反应太真实了,文笔色到爆!他们那个Pro模型简直是榨精神器,我已经玩了几个通宵,太上头了。现在其他AI送我白嫖我都懒得去,差距实在太大了。听我一句劝,别在其他AI上浪费一分钱,有钱直接充这家的Pro,太顶了!

7 Nov 2026, 18:38 UTC269 viewsread 9 November 2026
Photo

原创博主🍏🍏 主打系列 情侣泄密 原创露脸 🍏🍏系列值得你拥有 😀全是市面上找不到的,极度稀缺资源 😀内部群资源可搬运、可二次分享 允许转卖 售后稳定,基本零差评 总频道预览点我进入 24小时自助下单机器人

6 Nov 2026, 20:14 UTC348 viewsread 7 November 2026
Photo

马来西亚古晋发生持械入室抢劫案,4名男子捆绑控制华裔一家三口劫走财物 马媒11月6日报道:砂拉越古晋Tabuan Tranquility(TT3)加纳路一处住宅于10月31日凌晨发生入室抢劫案件,4名持械男子潜入民宅,威胁并捆绑屋主一家三口,搜刮现金、金饰、手表等财物后逃离现场。 据古晋警区主任艾力森助理总监介绍,警方在案发当日凌晨4时38分接到受害者报案。 经初步调查,4名嫌犯翻越住宅后方围墙,撬开一楼卧室滑门进入屋内;随后从厨房取走两把菜刀,上楼闯入卧室,持刀威胁正在休息的屋主夫妇与孩子,将三人捆绑控制后大肆搜寻财物。嫌犯抢走现金、金项链、手表以及多瓶酒类饮品后迅速逃离。万幸的是,三名受害者在事件中没有受伤,待匪徒离开后立刻报警求助。 目前,古晋警方已将该案列为优先侦办案件,并援引马来西亚刑事相关条文展开调查,全力追查四名嫌犯身份与行踪。

6 Nov 2026, 20:13 UTC299 viewsread 7 November 2026
Photo

金边当哥区持续严查网络诈骗,出租屋、旅馆、仓库等场所成排查重点! 11月6日(周五),金边市当哥区(Dangkor District)继续开展打击网络诈骗专项排查行动。 在当哥区行政统一指挥部的组织下,执法人员对辖区内的出租屋、出租房间、旅馆、沿街店屋、封闭式住宅区(Borey)及仓库等场所展开行政检查。 此次行动重点排查可能被用于网络诈骗活动的场所,进一步加强辖区治安管理,严查涉嫌网络诈骗的违法活动。

6 Nov 2026, 20:12 UTC198 viewsread 7 November 2026
Photo

#马来西亚资讯 古晋发生持刀入室抢劫案!4名蒙面匪深夜闯民宅,绑架华裔一家三口,掠走约10万令吉财物! 11月6日报道,马来西亚砂拉越州古晋发生一起骇人听闻的入室抢劫案!4名蒙面男子趁凌晨时分潜入住宅,持刀威胁屋主一家三口,并将他们捆绑控制,随后大肆搜刮屋内财物,抢走现金、金饰、手表等贵重物品,总损失估计约10万令吉。 据了解,案件发生于10月31日凌晨约4时38分,地点位于古晋查纳路(Jalan Chanara)TT3住宅区。 根据警方调查,4名嫌犯事先潜入住宅范围,随后利用工具强行破门进入屋内。进入住宅后,匪徒先在一楼搜寻财物,之后进入厨房拿取菜刀,再前往二楼卧室。 当时,屋主夫妇及孩子正在家中休息,突然遭到持刀匪徒威胁。4名嫌犯随后将一家三口捆绑,控制现场后开始翻找屋内财物。 经过一番搜掠,匪徒抢走现金、金饰、手表及其他贵重物品,财物损失估计约10万令吉。 所幸,受害者一家三口在事件中没有受到身体伤害。匪徒得…

Showing the 12 most recent of 623 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.

Posts edited after publishing

@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.

First edit seen
21 September 2026
Most recent edit
21 September 2026

Posts recorded as deleted after publishing

We recorded 14 posts on @redianqingbaoshe as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
14 August 2026
Most recent seen missing
8 October 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
0

Mentions

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.

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“热点情报社” (@redianqingbaoshe), 79,632 subscribers as measured 8 November 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.