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Channel

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@NEWSPJAPK

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

18,632subscribers

-41 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001152951141
TypeChannel
Username@NEWSPJAPK
Description互联网科技、实时快讯、新闻简报、时事热点 @PJapkBot
CreatedBetween 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/NEWSPJAPK

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 66% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@xhqcankao/312565 Aug 2026, 23:23 UTC@NEWSPJAPK/3447 · this entry6 Aug 2026, 02:55 UTC1.003.5 hours
@xhqcankao/312606 Aug 2026, 01:31 UTC@NEWSPJAPK/3450 · this entry6 Aug 2026, 03:01 UTC1.001.5 hours
@xhqcankao/312636 Aug 2026, 03:00 UTC@NEWSPJAPK/3452 · this entry6 Aug 2026, 03:10 UTC1.0010 minutes
@xhqcankao/312826 Aug 2026, 23:00 UTC@NEWSPJAPK/3482 · this entry6 Aug 2026, 23:03 UTC1.004 minutes
@xhqcankao/312887 Aug 2026, 02:01 UTC@NEWSPJAPK/3484 · this entry7 Aug 2026, 02:07 UTC1.007 minutes
@xhqcankao/312927 Aug 2026, 04:03 UTC@NEWSPJAPK/3491 · this entry7 Aug 2026, 04:05 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xhqcankao15 (7/8 hand-verifiable sample passed)1.0010 minutes@xhqcankao (150)
@xinxianshi6 (6/6 hand-verifiable sample passed)1.0041 minutesthis entry (60)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 15 of the 15 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 41 comparable posts for this entry, running 28 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 5, the earliest publisher we hold is @xhqcankao. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

18,63218,67318,652.56 August 2026 — 18,673 subscribers6 August 2026 — 18,666 subscribers7 August 2026 — 18,656 subscribers8 August 2026 — 18,648 subscribers9 August 2026 — 18,642 subscribers11 August 2026 — 18,643 subscribers12 August 2026 — 18,632 subscribers6 August 202612 August 2026
7 measurements spanning 6 days, net -41. 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 18,626–18,679 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 00:0218,632-11
11 Aug 2026, 00:5118,643+1
9 Aug 2026, 23:3318,642-6
8 Aug 2026, 20:1318,648-8
7 Aug 2026, 20:5718,656-10
6 Aug 2026, 18:4118,666-7
6 Aug 2026, 04:0218,673first reading

Engagement

96 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.38%
avg views ÷ 18,632 subscribers
Avg views / post
629
96 posts measured
Reaction rate
0.559%
reactions ÷ views · ER floor
Posts in window
96
of 96 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 43 of 96 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 13 August 2026
Posts held96 (28 July 202613 August 2026)
Views total60,383
Reactions total169
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 00:04 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
2,150
Videos
3
Links
585

Lifetime counters from Telegram’s own channel header, read 13 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.

Reaction mix

80 reactions across 25 posts, in 12 distinct kinds. The most used accounts for 46.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3746.3%
👍1620.0%
🙏911.3%
🫡56.25%
👏33.75%
🔥33.75%
😁22.50%
👎11.25%
🤔11.25%
🤣11.25%
🤩11.25%
🥰11.25%

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 43 of the 96 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 169reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 96 most recent posts we hold, published 28 July 2026 to 13 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

13 Aug 2026, 00:01 UTC8 viewsread 13 August 2026
Photo

#2026年8月13日,星期四,农历七月初一,60秒早间阅读 1、今年上半年全国结婚登记327.5万对,较去年同期减少26.4万对;离婚登记138.3万对,较去年同期增加5.2万对; 2、银行能办结婚证了:天津首家银行内结婚登记点启用,领证还能定制银行卡; 3、31省上半年财政收入出炉:广东以7421亿元连续35年蝉联榜首;西藏以37%同比增速领跑; 4、央行:8月14日、8月17日至8月19日开展隔夜逆回购操作,单日不超6000亿元; 5、中汽协:7月新能源汽车新车销量占比首超60%;出口连续第二个月超100万辆; 6、我国成功攻克锂云母提锂多项重大技术难题,大幅提升锂回收率; 7、我国主导的生命科学领域国际学术期刊《Vita》纸质刊首期发布; 8、苏州:新就业群体台风中受伤最高可获10000元救助; 9、福建福州一事业单位工作人员24年未到岗,单位登《返岗通知书》,律师称连续旷工可解除聘用; 10、美国撤

12 Aug 2026, 13:44 UTC407 views1 reactionsread 13 August 2026

梁文锋财富一年激增3850% 跻身全球富豪榜前50 中国人工智能企业深度求索(DeepSeek)创办人梁文锋的净资产在一年内从10亿美元增至395亿美元,增幅达3850%,成为同期财富增长最快的亿万富豪,并跻身全球富豪榜前50名。 金融研究机构BestBrokers根据福布斯即时亿万富豪榜,对2025年7月27日至今年7月27日的数据进行统计,得出上述结果。梁文锋财富大增,主要得益于DeepSeek估值从2025年的约72亿元人民币,跃升至今年的约4000亿元人民币。 —— 联合早报

🤔1

12 Aug 2026, 10:16 UTC789 views15 reactionsread 13 August 2026

朱镕基同志在北京逝世 中共中央、全国人大常委会、国务院、全国政协宣告,国务院原总理朱镕基同志因病医治无效,于2026年8月12日11时06分在北京逝世,享年98岁。朱镕基同志1928年10月生,湖南长沙人,1949年10月加入中国共产党。 1998年3月,朱镕基同志出任国务院总理。亚洲金融危机期间,他推动实施积极财政政策和稳健货币政策,坚持人民币不贬值,主持完成加入世界贸易组织的谈判。他主持财税、金融、国企、住房、粮食流通等重大改革,推动建立社会主义市场经济体制基本框架。 —— 新华网

🙏9🫡51

12 Aug 2026, 10:14 UTC581 viewsread 13 August 2026

上半年结婚登记 327.5 万对,较去年同期少 26.4 万对 民政部 8 月 12 日发布数据显示,2026 年上半年全国结婚登记 327.5 万对,离婚登记 138.3 万对。2025 年同期结婚登记 353.9 万对、离婚登记 133.1 万对,结婚登记减少 26.4 万对。 —— 民政部

12 Aug 2026, 08:58 UTC614 viewsread 13 August 2026

经销商证实:雪佛兰已暂停在华新车销售 近日,雪佛兰退出中国市场话题在业内引发热议。通用中国周一回应称,在中国,凯迪拉克与别克在各自的细分市场中具备良好的竞争优势,能够支持业务的可持续增长;而合资企业旗下的雪佛兰产品线则最契合出口市场需求。通用中国方面强调,雪佛兰产品将继续在中国生产,并积极探索在美国以外的海外市场机遇。对于现有的中国雪佛兰车主,公司将提供完善的售后服务保障。 多位雪佛兰授权经销商内部人士证实,雪佛兰已经暂停在华新车销售,但各方提及的停售时点存在差异。另外,记者发现,部分官网登记的雪佛兰经销商联系电话已出现无人接听、号码为空号的情况。 —— 第一财经

12 Aug 2026, 04:42 UTC717 views0 reactionsread 13 August 2026

FBI:朝鲜远程IT人员曾在美国政府机构工作 FBI正在调查一名朝鲜人如何被雇用为美国联邦政府机构工作。FBI高级官员于7月28日在华盛顿特区的一次会议上的发言透露了上述消息。该官员向媒体证实,FBI正在调查一名为某未具名联邦机构工作的朝鲜人。 目前尚不清楚这名朝鲜人如何被雇用,但朝鲜政权以其协调一致且长期进行的活动而闻名,这些活动旨在以欺诈方式在私营组织和跨国公司获得职位。此案标志着一个罕见的已确认实例,即一名受制裁的朝鲜人为政府机构工作。据信,近年来有数千名朝鲜IT工作者通过利用招聘流程中的漏洞,获得了在美国和欧洲企业工作的机会。 —— Techcrunch

12 Aug 2026, 01:45 UTC706 views0 reactionsread 13 August 2026

没有一个真人员工 日本电气成立“全AI部门” 日本软件服务巨头 NEC(日本电气)在本周宣布,在组织内部新设立 “企业 AI ·劳动力部门”,统领整个集团的AI转型进程。值得关注的是,这个部门一个人类都没有,完全由AI组成,但在NEC内部架构中与人事、法务等部门平级。当销售、人力资源等部门向AI部门提出业务自动化的需求后,该部门会根据任务内容生成最合适的AI智能体,从而减轻发起部门的业务负担。 该部门也将作为 “指挥中心”,统一运营整个公司的AI。首期试点将从制作供高管会议使用的公司经营分析资料开始,随后逐步拓展到客户数据分析等业务领域。 —— 财联社

12 Aug 2026, 01:38 UTC651 viewsread 13 August 2026

美国政府设备重新允许使用TikTok应用 美国特朗普政府已解除在联邦政府设备上使用TikTok的限制,原因是TikTok美国业务在重组后不再构成国家安全威胁。 白宫管理和预算办公室在周一发布的一份备忘录中,撤销了2023年发布的一项指令。这一指令因担心TikTok存在安全风险,禁止在美国政府设备上使用这一短视频服务。在此之前,美国司法部上个月出具了一份书面意见,结论是TikTok已不再符合2022年通过的一项法律中定义的 “受管制应用” 标准,该法律禁止在联邦平台上使用TikTok。 —— 凤凰网科技、彭博社

12 Aug 2026, 00:06 UTC614 views4 reactionsread 13 August 2026
Photo

#2026年8月12日,星期三,农历六月三十,60秒早间阅读 1、国产大飞机C919首次执飞国际商业航线,北京首都至乌兰巴托; 2、上半年规上互联网企业完成互联网业务收入超万亿,同比增长10.1%; 3、7月乘用车销量榜出炉:前10仅剩1款燃油车入围,今年1月还有7款; 4、山西中阳残存明代城墙遭“拆旧建新”,墙砖被按废物丢弃,当地回应:正开展调查; 5、甘肃兰州公交被指将能耗和绩效挂钩,致部分司机不敢开空调,公司回应:已暂停实施这一考核办法; 6、多家期刊发布AI使用规范:严禁AI洗稿或替代人工学术把关; 7、宇树科技中签号出炉:中签号码共有19414个,每个中签号码只能认购500股; 8、7月计算机价格同比上涨17.4%,平板电脑上涨17.2%,专家称最快明年下半年缓解压力; 9、现货黄金突破4400美元/盎司,过去一周涨幅超7%;国内金饰克价飙升至1336元; 10、李嘉诚家族再售海外资产,澳洲能源资产

2👍2

11 Aug 2026, 22:58 UTC583 viewsread 13 August 2026

SK海力士重启大连二厂建设,NAND产能将提升五成 SK海力士将重启大连NAND闪存第二工厂的建设,当地产能提升约50%。该厂四年前开工后因内存下行周期长期停工,现计划今年底开始搬入设备、明年上半年实现量产,新产线月产能约5万片晶圆。 在AI数据中心推动企业级SSD需求激增的背景下,NAND价格一年涨近10倍。SK海力士采用双轨策略:大连以成熟技术生产100层级NAND,清州则聚焦300层以上的高堆叠产品。 —— 首尔经济日报

11 Aug 2026, 22:47 UTC590 viewsread 13 August 2026

美国政府想要禁止美国公民使用中国AI模型 却被宪法束缚了手脚 如果联邦政府试图禁止美国公民使用在中国开发的人工智能模型,使用者可能会以侵犯美国宪法第一修正案所赋予的“接收信息权”(通常被称为“听众权利”,listeners' rights)为由,诉请法院宣布该禁令无效。在涉及“听众权利”的判例中,发言者本身是否拥有第一修正案保障的言论自由并不重要;冷战时期的“拉蒙特诉邮政局长案”中,美国联邦最高法院便裁定,一项限制美国人接收外国共产党宣传品权利的法律违宪。 阻断中国模型进入美国的难度尤为突出,因为其中大多数属于开放权重模型。这意味着美国用户可以免费下载模型权重,并将其部署在自己的服务器上。因此,用户可能会提出两项独立的宪法第一修正案主张:一是他们有权通过中国聊天机器人接收信息,二是他们有权下载这些模型的权重。美国政府可以限制美国公民与中国开发者之间的交易,但法律问题十分复杂。 —— 华尔街日报 · 观点

11 Aug 2026, 12:47 UTC710 viewsread 13 August 2026

石墨烯驱动软性镜片问世,有望革新相机与医疗设备 伦敦玛丽女王大学 James Busfield 教授团队开发出一种基于还原氧化石墨烯的透明软性镜片,可通过施加小电场改变焦距,无需传统镜片所需的笨重移动部件。研究成果发表于《Advanced Functional Materials》。 该原型模仿人眼工作原理:通电时软膜拉伸镜片改变形状,从而对不同距离的物体对焦。团队将超薄透明石墨烯电极直接集成到镜片下方的驱动层上,解决了传统电极因不透明而只能置于镜片边缘的设计瓶颈,大幅缩小了器件体积。研究人员表示,该技术未来可应用于自动对焦相机、可穿戴显示器、VR/AR 头显及微型医疗成像设备等领域,目前仍需进一步优化电极透明度与性能。 —— Queen Mary University of London

Showing the 12 most recent of 96 posts we hold for @NEWSPJAPK. 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 — 768,461 of 1,151,006entries 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 4 registered channels — 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.

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

“💬 60秒早间阅读” (@NEWSPJAPK), 18,632 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/NEWSPJAPK.

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.