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Channel

新·世界观察日志

@NewWorldObservationLog

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,062subscribers

+127 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001681631518
TypeChannel
Username@NewWorldObservationLog
Description魔幻的世界需要一个观测者 交流群组: https://t.me/background_of_new_wol 本频道的 Anti-Spam 策略要求您订阅频道后方可在评论区中留言。 联系频道主: @NPGamma / [email protected]
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/NewWorldObservationLog

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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

6,9267,0626,9946 August 2026 — 6,935 subscribers6 August 2026 — 6,935 subscribers6 August 2026 — 6,938 subscribers9 August 2026 — 6,936 subscribers13 August 2026 — 6,941 subscribers16 August 2026 — 6,943 subscribers20 August 2026 — 6,940 subscribers23 August 2026 — 6,936 subscribers26 August 2026 — 6,926 subscribers29 August 2026 — 6,935 subscribers1 September 2026 — 6,939 subscribers5 September 2026 — 6,946 subscribers10 September 2026 — 6,950 subscribers13 September 2026 — 6,941 subscribers18 September 2026 — 6,956 subscribers28 September 2026 — 6,969 subscribers5 October 2026 — 6,999 subscribers12 October 2026 — 6,995 subscribers15 October 2026 — 7,000 subscribers18 October 2026 — 7,002 subscribers22 October 2026 — 7,014 subscribers25 October 2026 — 7,015 subscribers28 October 2026 — 7,027 subscribers31 October 2026 — 7,042 subscribers3 November 2026 — 7,051 subscribers6 November 2026 — 7,060 subscribers9 November 2026 — 7,062 subscribers6 August 20269 November 2026
27 measurements spanning 95 days, net +127. 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 6,906–7,082 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
9 Nov 2026, 11:347,062+2
6 Nov 2026, 07:197,060+9
3 Nov 2026, 10:197,051+9
31 Oct 2026, 04:087,042+15
28 Oct 2026, 09:257,027+12
25 Oct 2026, 03:487,015+1
22 Oct 2026, 00:397,014+12
18 Oct 2026, 11:197,002+2
15 Oct 2026, 21:597,000+5
12 Oct 2026, 16:496,995-4
5 Oct 2026, 16:186,999+30
28 Sept 2026, 07:396,969+13
18 Sept 2026, 14:376,956+15
13 Sept 2026, 21:416,941-9
10 Sept 2026, 04:586,950+4
5 Sept 2026, 00:216,946+7
1 Sept 2026, 07:476,939+4
29 Aug 2026, 09:536,935+9
26 Aug 2026, 16:266,926-10
23 Aug 2026, 20:366,936first reading

Engagement

29 posts held, back to 25 April 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 27 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.2%
avg views ÷ 7,062 subscribers
Avg views / post
1,990
5 posts measured
Reaction rate
1.93%
reactions ÷ views · ER floor
Posts in window
5
of 29 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 November 2026
Posts held29 (25 April 2026 – 9 November 2026)
Views total9,956
Reactions total192
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 18:07 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
≈1,030
Videos
≈61
Links
≈1,190

Lifetime counters from Telegram’s own channel header, read 11 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
1h 19m
Average length
19m 55s

Measured directly from 4 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

1,000 reactions across 27 posts, in 11 distinct kinds. The most used accounts for 23.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤23023.0%
😢20220.2%
🫡15615.6%
🙏12512.5%
👍10510.5%
🤬525.20%
🤯494.90%
👎414.10%
🤨282.80%
😱60.6%
🥰60.6%

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 27 of the 29 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 1,000 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 25 April 2026 to 9 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 5 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).

9 Nov 2026, 02:13 UTC956 views13 reactionsread 11 November 2026

中国LLM讨论纪要 1.反蒸馏与国产模型追赶 蒸馏难度明显变高,短期蒸馏成本上升5-10倍,多则20倍 替代方案效果都不如直接蒸馏:把一个问题拆成10个分别喂前沿模型再拼起来;拿摘要用其他模型做反向rationalization;合成数据、数据生态采购 曾有人认为可以通过第三方CSP(如Amazon)拿访问权限,但近期Amazon也出现较大封号潮 coding / agent benchmark已刷到90%+,再卷意义不大;明年下一个市场大概率是AI for Science或机器人,数据壁垒更高。AI for Science真正做药的模型完全封闭(Claude内独立模型层),只有药企合作能用,「连用都用不到,怎么蒸」;机器人基线数据更提取不出来 反蒸馏的影响是多方面的: 措施:OpenAI / Anthropic直接拒答或降级,订阅和非定向API都有大量反蒸馏措施,完整推理只有深度合作企业的API能拿到 算力(认为是最大问题)…

👍12❤1

5 Nov 2026, 09:04 UTC≈1,400 views17 reactionsread 11 November 2026

“徽剑”身后事:知情者称家属曾全力筹办丧事,不想再被误解打扰 2024年10月中旬,化名“少校”的人员在境外加密通讯平台发布有偿劫持任务,以30万元赏金针对长期曝光缅北电诈的自媒体人吴恺,要求逼问其公众号幕后信息并删除相关文章。 河南民权籍人员赵冰接单后,“少校”向其提供了吴恺的住址、车牌号等详细信息,同时另线指派曹东团伙配合实施绑架,最终约定总赏金提至100万元。2024年11月10日,团伙在惠州冒充警察将吴恺强行掳走,跨省转运途中持续对其殴打逼问,次日将已昏迷的吴恺遗弃在江西定南的荒山之中,11月13日其遗体被当地村民发现。 据参与庭审的人士向界面新闻介绍,“少校”只是境外加密通讯软件上的代号,其真实姓名、性别、所处位置均未查实,所有涉案人员均未与其线下见面,全程仅通过网络接收指令。 截至二审开庭,案卷中无“少校”归案的信息。 但主犯未到案并不影响本案的正常审理。根据刑事诉讼“分案处理”规则,对于犯罪事实清楚、证据…

👍13❤4

4 Nov 2026, 17:29 UTC≈1,590 views25 reactionsread 11 November 2026

美国中期选举:蓝潮横扫全国,到底意味着什么? (一)2024年11月的选举是红潮的胜利,特朗普赢得了选举,共和党同时赢得了参议院和众议院的多数席位,用美国政治术语来说就是实现了unified government(统一政府)。这种概率是比较低的,根据笔者的统计,自从1969年以来的57年中,只有16年零6个月是unified government,而多数时间都是divided government。 当时面对红潮的力量,很多政治学界的人都预言美国的政治要翻篇了,MAGA将重塑美国版图,民主党的进步主义政策将瓦解。不过笔者2025年4月就撰写《特朗普新政到底还能走多远?兼MAGA保守主义的历史影响力和政治前途分析》一文指出,今年中期大选特朗普将会大翻车,MAGA会遇到重大挫折,今天的选举结果,跟19个月前的估计基本一致。 所以,我们很多学者的政治预测和股市预测一样都是不靠谱的,极其感性的,看到某党派、某人物或某企业、某技术的…

❤25

27 Oct 2026, 02:46 UTC≈3,090 views99 reactionsread 11 November 2026

自媒体人“徽剑”已于2年前遭买凶遇害,曾公开举报电诈大佬刘忍 2024年11月13日中午,江西省赣州市定南县龙塘镇,有村民在公路旁的山上发现了一具遗体。死者叫吴恺,网名“徽剑”,曾在微信公众号上持续曝光缅北、柬埔寨电诈内幕,拥有数十万粉丝。 界面新闻近日获得的裁判文书显示,吴恺当时在广东惠州被数人劫持,辗转带至广东河源、江西赣州,遭持续殴打折磨,被遗弃在赣州定南县一处山上后死亡。3名与吴恺相熟的人士也向界面新闻证实,吴恺已于两年前遇害。他生前持续公开举报的对象,正是2026年6月被押解回国的柬埔寨太子集团骨干、柬埔寨安徽商会会长刘忍。 2024年8月,吴恺公开发文,指控柬埔寨太子集团骨干、柬埔寨安徽商会会长刘忍涉嫌赌场暴力放贷、殴打致死装修老板、收取商铺保护费、运营电诈园区、武装化跨国犯罪等。这是刘忍首次被公开举报。数日后,刘忍以柬埔寨安徽商会名义发布严正声明逐条否认,称爆料为“恶意造谣、无端污蔑”,并调动本地华文媒体集中…

🫡67😢24❤4👍1👎1🥰1😱1

19 Oct 2026, 08:10 UTC≈2,920 views38 reactionsread 11 November 2026
Forwarded from @baihehappytuPhoto

#每日資訊

😢26🙏10❤1👍1

5 Oct 2026, 19:06 UTC≈3,740 views15 reactionsread 11 November 2026
Forwarded from @im_RORIRI

ˊ_>ˋ 整理出来了一个 Working 的多 Agent 协同工作治理架构,在 DSH 里面做的。 主要是这几点: 1. 开放 Session 管理相关能力,包括快速阅读其他 Session 的聊天记录,直接向其他 Session 发消息,直接原地开立新的 Session(这样可以断开子母 Session 关系,这点很重要,因为有的时候子母 Agent 关系会让任务管理变得没办法 Self Contained 导致协调效率低下整个开发业务流彻底混乱)。 2. 不要用 GitButler,用 jj 做多任务管理,GitBulter 不能解决编译产物混乱的问题,而且 GitButler 的实现思路非常有毒,会把你整个业务流搞得又脏又乱。 3. 把任务管理(特别是兔子洞管理)、版本管理和 Session 权限整合成一个完整的业务流程方案,确保所有 Session 的操作都是严格受控,没有逃脱窗口的。这意味着不会把 git 和 j…

🤯9❤3👎3

25 Sept 2026, 15:40 UTC≈4,040 views10 reactionsread 11 November 2026
Video

【中国经济人物志06】梁建章:携程CEO如何推动生育政策转向 @柏拉图学徒: 发布视频 播放量:4629 弹幕:15 评论:37 点赞:191 投币:58 收藏:174 转发:32 发布日期:2026-09-25 07:50:06

🤯8👍2

22 Sept 2026, 00:44 UTC≈4,370 views31 reactionsread 11 November 2026

政府激励的扭曲效应:来自中国“死亡指标”制度的证据 摘要:我们研究了一项 2004 年设立的、旨在促使中国官僚减少事故死亡人数的制度。每个省份都会收到一组“死亡指标”,一旦超过,相关政府官员的晋升就会受阻。对每一类事故死亡,我们都在指标附近观察到报告死亡人数的急剧不连续,说明存在操纵。对市级官员设有安全激励的省份,事故死亡下降得更多,说明不同层级政府之间的激励具有互补性。已实现的事故死亡能够预测下一年的指标,但我们没有发现省份为避免“棘轮效应”而向上操纵死亡人数的证据。 2004 年 1 月 9 日,国务院发布《关于进一步加强安全生产工作的决定》,除重申安全生产的重要性外,明确提出到 2020 年中国安全状况应可与其它中等收入国家相比,并要求自 2004 年起在国家和地方两级设定安全指标。 作为回应,国务院安全生产委员会发布《关于建立死亡指标制度的意见》,给出全国事故死亡人数下降 2.5% 的具体目标。安委会与当时的国家安…

😢17🤬8❤4🫡1😱1

16 Sept 2026, 03:07 UTC≈4,470 views40 reactionsread 11 November 2026

赶在16岁前犯罪的孩子们 他们想慢一点长大。16岁以后,好日子就过完了。 这篇报道是关于一群赶着在16岁前犯罪的孩子。在中国,不满16周岁盗窃不追究刑事责任,他们清楚地知道这一点。16岁成了倒计时:要趁16岁以前多赚一点钱,最好存下来,到了16岁就停手。他们把这叫作“上岸”。 过去几年,每当未成年人犯罪引发讨论,关于16岁这条线的争议总是从外部展开:它是保护还是纵容,应不应该降低。但在这些孩子自己的生命里,同一条线意味着别的东西。也许,一个更严肃也更残酷的问题是,为什么一群孩子会坚信,自己人生中仅有的好日子只能存在于16岁之前,而16岁之后的世界没有为他们准备任何东西。 凌晨4点,一家手机店门口,一个戴着口罩的微胖男孩凑近玻璃门往里看。监控拍到了他接下来的动作:他两手握住门把手,推。门上插着一把U形锁,门和锁叮咣作响。他退后两步,再推,又推,玻璃晃得要掉下来。他四下看看,踹了一脚,俯身猛推。门碎了。一大块玻璃落下来,似乎…

😢35❤4🤨1

13 Sept 2026, 05:46 UTC≈3,090 views6 reactionsread 11 November 2026
Video

住宅低频噪音现场溯源-山东4家 在山东进行了4家现场低频噪音溯源,各家噪音源各不相同,在此记录。 @朱林-声学: 发布视频 历史排行榜第6位 播放量:407.68万 弹幕:2394 评论:8745 点赞:35.64万 投币:4.69万 收藏:5.89万 转发:1.32万 发布日期:2026-08-06 14:10:00 上传日期:2026-08-06 11:56:29

👍5❤1

11 Aug 2026, 18:05 UTC≈5,560 views60 reactionsread 11 November 2026
Video

《江泽民》 第1集 《风雨历练》 来源:中央广播电视总台 @中新视频: 发布视频 播放量:7.72万 弹幕:0 评论:116 点赞:4936 投币:1461 收藏:4090 转发:4665 发布日期:2026-08-11 13:41:46

🫡43👎13❤2🤬1🥰1

4 Aug 2026, 10:43 UTC≈5,980 viewsread 11 November 2026
Video

韩医生漏诊被判刑,这只是行业崩塌的一个缩影。 @杨昊天浪迹天涯: 发布视频 播放量:22.36万 弹幕:281 评论:3220 点赞:5286 投币:902 收藏:1613 转发:2004 发布日期:2026-08-02 11:44:33 🔝> : 灵魂拷问

Showing the 12 most recent of 29 posts we hold for @NewWorldObservationLog. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

飛蛾書庫
@MothLib · 35,344
Telegram ranks this channel #6 of 50 here — alongside 49 others — read 3 September 2026
【李老师不是你老师】官方电报
@lilaoshibushinilaoshi · 49,209
Telegram ranks this channel #10 of 60 here — alongside 59 others — read 26 August 2026
看鉴中国 OutsightChina
@OutsightChina · 41,872
Telegram ranks this channel #11 of 58 here — alongside 57 others — read 29 August 2026
知乎暴论
@mightyflame · 25,397
Telegram ranks this channel #15 of 42 here — alongside 41 others — read 13 September 2026
Iyouport
@iyouport · 27,612
Telegram ranks this channel #15 of 55 here — alongside 54 others — read 10 September 2026
赛博忏悔室
@cyber_confessional · 40,952
Telegram ranks this channel #15 of 35 here — alongside 34 others — read 30 August 2026
Time经济观察
@TimeHorizonX · 21,049
Telegram ranks this channel #16 of 54 here — alongside 53 others — read 25 September 2026
简中互联网废物大赏
@fucku_idiot · 41,768
Telegram ranks this channel #19 of 47 here — alongside 46 others — read 30 August 2026
中国数字时代
@cdtchinesefeed · 51,934
Telegram ranks this channel #20 of 60 here — alongside 59 others — read 29 August 2026
竹新社
@tnews365 · 167,192
Telegram ranks this channel #20 of 59 here — alongside 58 others — read 12 August 2026
LoopDNS资讯播报
@DNSPODT · 73,241
Telegram ranks this channel #22 of 59 here — alongside 58 others — read 20 August 2026
zaobao.sg 早报
@zaobaosg · 46,565
Telegram ranks this channel #24 of 59 here — alongside 58 others — read 1 September 2026
Solidot
@solidot · 48,811
Telegram ranks this channel #29 of 59 here — alongside 58 others — read 28 August 2026
每日消费电子观察
@CE_Observe · 77,552
Telegram ranks this channel #30 of 62 here — alongside 61 others — read 19 August 2026
风向旗参考快讯
@xhqcankao · 200,273
Telegram ranks this channel #33 of 45 here — alongside 44 others — read 12 August 2026
平壤卫视
@pingrangTV · 29,366
Telegram ranks this channel #34 of 45 here — alongside 44 others — read 8 September 2026
煎蛋无聊图
@jandan_pic · 25,561
Telegram ranks this channel #35 of 51 here — alongside 50 others — read 14 September 2026
蓝点网订阅频道
@landiansub · 47,142
Telegram ranks this channel #35 of 58 here — alongside 57 others — read 28 August 2026
APPDO 数字生活指南
@AppDoDo · 40,978
Telegram ranks this channel #38 of 57 here — alongside 56 others — read 30 August 2026
不靠谱的喵(>^ω^<) #CatGPT
@MlgmXyysd_bibilailai · 22,511
Telegram ranks this channel #40 of 54 here — alongside 53 others — read 23 September 2026
观水谭 A股市日记 🅥
@Guanshuitan · 33,890
Telegram ranks this channel #45 of 58 here — alongside 57 others — read 1 October 2026
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,407
Telegram ranks this channel #47 of 55 here — alongside 54 others — read 10 September 2026
少数派sspai
@sspai · 39,123
Telegram ranks this channel #48 of 58 here — alongside 57 others — read 31 August 2026
树洞🌳群友问❓有点意思🗳
@qunyouwen · 89,042
Telegram ranks this channel #64 of 67 here — alongside 66 others — read 17 August 2026

This channel appears in 24 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“新·世界观察日志” (@NewWorldObservationLog), 7,062 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/NewWorldObservationLog.

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.