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Channel

睡前消息

@bedtime_news

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

5,905subscribers

-9 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001700387316
TypeChannel
Username@bedtime_news
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/bedtime_news

Growth

5,9055,9145,909.57 August 2026 — 5,914 subscribers7 August 2026 — 5,914 subscribers11 August 2026 — 5,909 subscribers14 August 2026 — 5,905 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net -9. 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 5,904–5,915 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 13:575,905-4
11 Aug 2026, 02:215,909-5
7 Aug 2026, 14:465,914no change
7 Aug 2026, 14:335,914first reading

Engagement

40 posts held, back to 6 August 2026the 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 · 30 days
2.37%
avg views ÷ 5,905 subscribers
Avg views / post
140
40 posts measured
Reaction rate
1.17%
reactions ÷ views · ER floor
Posts in window
40
of 40 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 8 of 40 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 11 August 2026
Posts held40 (6 August 202611 August 2026)
Views total5,591
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:44 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.

Reaction mix

15 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤡533.3%
🤣426.7%
320.0%
👍320.0%

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 8 of the 40 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 6 August 2026 to 11 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.

Recent posts

11 Aug 2026, 15:23 UTC115 views5 reactionsread 12 August 2026
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» 7、特朗普力挺因凡蒂诺 警告国际足联不要考虑更换主席 当地时间8月10日,美国总统特朗普发文表示,国际足联如果因任何原因考虑更换主席因凡蒂诺,将犯下“严重错误”。 特朗普称,因凡蒂诺“非常出色”,刚主持了“有史以来最成功的世界杯”,并表示如果因凡蒂诺离任,世界杯将不会像现在这样成功或盈利。 报道还提到,因凡蒂诺日前提出成立一家价值200亿美元的子公司运营世界杯及其他赛事,并向私人投资者出售少数股权。这一计划遭到欧足联等大洲足联反对后被放弃。欧足联、亚足联、中北美洲及加勒比海足联随后联合声明,呼吁对世界杯股权出售提案进行独立第三方审查。

🤡5

11 Aug 2026, 15:23 UTC107 viewsread 12 August 2026
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» 6、泰国省级行政官员在街头被枪杀 凤凰网报道,当地时间8月10日11时许,泰国暖武里府行政组织办公楼外发生枪击。暖武里府行政组织主席、71岁的通猜·延巴色在车内中弹,后经抢救无效死亡,他的私人司机也遭枪击。 警方随后锁定枪手为71岁的前国会议员差隆·里奥朗。监控画面显示,差隆靠近通猜乘坐的黑色轿车,隔着车窗开枪。报道称,通猜头面部、颈部等多处中弹。 差隆随后向警方投案,并供述作案动机称通猜欠其约1100万泰铢债务。他还称自己本无开枪打算,是通猜司机先拔枪指向他,但警方查看监控后表示没有发现通猜一方开枪回击的证据。 差隆在警局未戴手铐召开记者会并抽烟的画面引发争议。泰国总理阿努廷公开斥责警方,表示不论嫌疑人过去是什么身份,现在就是杀人犯。警方随后以谋杀等罪名展开调查,并明确反对保释。

11 Aug 2026, 15:23 UTC99 viewsread 12 August 2026
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» 5、受贿2.61亿,南京市人大常委会原主任龙翔判死缓 2026年8月11日,湖北省荆州市中级人民法院一审公开宣判南京市人大常委会原党组书记、主任龙翔受贿、贪污、滥用职权、内幕交易一案。 法院以受贿罪判处龙翔死刑,缓期二年执行,剥夺政治权利终身,并处没收个人全部财产;同时以贪污罪、滥用职权罪、内幕交易罪分别判刑,决定执行死刑,缓期二年执行。 经审理查明,2009年1月至2025年3月,龙翔利用担任南京市纪委副书记、市监察局局长,市委常委、市纪委书记,市委副书记,市人大常委会党组书记、主任等职务便利,为有关单位和个人在工程承揽、工程款拨付、案件处理等事项上提供帮助,收受财物折合人民币2.61亿余元。 法院还查明,龙翔与他人共谋骗取南京经济技术开发区财政扶持资金1200万元,在处置相关严重违纪违法问题线索中徇私情私利、包庇他人,并非法获取内幕信息买入相关公司股票。鉴于其具有重大立功表现、如实供述、主动交代、认罪悔罪并积极退赃,法

11 Aug 2026, 15:23 UTC85 viewsread 12 August 2026

» 4、文献纪录片《江泽民》开始播出 纪念百年诞辰 为纪念江泽民同志诞辰100周年,由中共中央宣传部、中共中央党史和文献研究院、国家广播电视总局、中央广播电视总台联合摄制的十二集文献纪录片《江泽民》开始播出。 该片从8月11日起在总台央视综合频道晚八点档首播,科教频道晚十点档重播。报道称,该片全面回顾江泽民同志70多年的革命生涯,展现其丰功伟绩和崇高风范。当天播出第一集《风雨历练》和第二集《勇于探索》。

11 Aug 2026, 15:23 UTC76 viewsread 12 August 2026
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» 3、哥伦比亚7.4级地震 至少169人死 哥伦比亚方面8月11日最新通报称,该国发生的强震已造成169人死亡。 中国地震台网测定,当地时间8月10日7时34分,哥伦比亚发生7.5级地震,震源深度80公里。震中位于哥伦比亚西北部乔科省圣何塞-德尔帕尔马市附近,首都波哥大震感明显。强震导致多地建筑物受损或倒塌,多座机场停运,哥伦比亚政府当天宣布进入“国家灾难状态”。

11 Aug 2026, 15:22 UTC72 views2 reactionsread 12 August 2026

» 2、长征七号火箭发射中星4B卫星失败 8月10日20时02分,我国在文昌航天发射场使用长征七号改运载火箭发射中星4B卫星,火箭飞行异常,发射任务失利。具体原因正在进一步分析排查。

🤣2

11 Aug 2026, 15:22 UTC79 viewsread 12 August 2026
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» 1、不满房东涨租,于东来宣布关掉年赚1亿的胖东来老店,自掏65亿建商场 面对房东涨租,于东来决定关闭开业24年的胖东来许昌生活广场店。8月9日,他在个人社交账号披露,早在2015年,相关业务人员未按公司规定统一签订租赁合约,导致部分租户租金大幅上涨。 于东来表示,相关租户总体占比不大,但他不能失去公平正义的精神,因此决定在现有租约到期后不再续租并关闭该门店。此前8月7日,他已通过直播透露,许昌生活广场店将于今年12月关闭。 胖东来官网信息显示,许昌生活广场店于2002年1月1日开业,是胖东来旗下首家大型综合商场,营业面积约1.48万平方米,业态涵盖超市、大众服饰、百货、餐饮和医药。于东来称,该店年销售额约20亿元,年利润超过1亿元。 报道还提到,胖东来近年来正在加码自有物业。许昌梦之城项目为自持项目,也是胖东来品牌成立以来投资规模最大的单体项目,建设和装修投资金额接近65亿元,项目总建筑面积57.59万平方米。 于东来曾在

11 Aug 2026, 15:22 UTC77 viewsread 12 August 2026

» 睡前消息【2026-8-11】胖东来不怕房东 - 2026-08-11 23:16:50

11 Aug 2026, 06:22 UTC145 views1 reactionsread 12 August 2026

» 8、英国名校普遍合并 对抗财务压力 格林威治大学与肯特大学正式宣布合并,组建英国首个“超级大学”,将于今年9月揭牌。 新成立的“超级大学”名为伦敦与东南大学集团(LASEUG),旗下设有四个校区,分别位于伦敦、梅德韦与肯特地区,在校生规模超过5万人。该大学集团将于9月7日正式揭牌,距离合并方案首次对外公布恰好满一年。 值得注意的是,今年早些时候,伦敦国王学院与克兰菲尔德大学也宣布将于2027年8月合并。 目前英国高等教育机构正面临日益严峻的财务压力。英格兰高等教育监管机构学生事务办公室(OfS)警告称,在近期一段时间内有24所高校面临破产和倒闭风险,并预测在2025至2026学年中有45%的高校出现财政赤字。 今年5月,英国下议院教育特别委员会发布报告称,英国高等教育行业正深陷财务危机,“不排除出现大学倒闭的可能”。报告提到,许多高校已经采取裁员、出售校舍或土地,以及撤销部分专业课程等应对措施。报告强调:“高校倒

1

11 Aug 2026, 06:22 UTC127 viewsread 12 August 2026

» 7、新疆兵团环境局长吴彬倒台 据中央纪委国家监委网站8月10日消息,新疆生产建设兵团生态环境局原党组书记、局长吴彬涉嫌严重违纪违法,目前正接受新疆生产建设兵团纪委监委纪律审查和监察调查。 公开资料显示,吴彬,女,汉族,1970年3月生,博士研究生学历,工学博士,正高级工程师。曾任新疆生产建设兵团生态环境局党组书记、局长,新疆维吾尔自治区生态环境厅副厅长(兼)。

11 Aug 2026, 06:22 UTC107 viewsread 12 August 2026

» 6、南华大学两所附属医院院长 同日倒台 同一高校,两所附属医院的原院长同日被查。 据湖南省纪委监委网站今日(8月10日)消息,南华大学附属南华医院原党委副书记、院长汤永红涉嫌严重违纪违法,目前正接受南华大学纪委纪律审查和娄底市监委监察调查。 南华大学附属第二医院原党委副书记、院长彭秀达涉嫌严重违纪违法,目前正接受南华大学纪委纪律审查和怀化市监委监察调查。

11 Aug 2026, 06:22 UTC100 viewsread 12 August 2026
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» 5、资本密集投资香港校舍 今年夏天,香港不动产市场最火热的赛道,要数学生公寓。 据界面新闻不完全统计,2025年至今年8月,香港通过公开披露进行收购、改建的学生宿舍案例超10宗,合计成交金额超60亿港元。入局者中既有中原投资、宏安地产等香港本地资本,也有京东等内地互联网巨头,还有新加坡伟合控股等国际资本,各路玩家正以前所未有的速度涌入。 就在几年前,香港几乎还看不到机构化运营的学生公寓,市场参与者多为“二房东”式的零散经营。如今,同一栋楼的市场估值可能在一年内翻倍。这场由政策、资本与需求共同驱动的浪潮,正在重塑香港住房租赁市场的底层逻辑。

Showing the 12 most recent of 40 posts we hold for @bedtime_news. 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

Citation-graph rank — 1,430,376 of 1,481,217entries 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.

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“睡前消息” (@bedtime_news), 5,905 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/bedtime_news.

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.