《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
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Channel
@NewWorldObservationLog
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
6,941subscribers
+6 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001681631518 |
|---|---|
| Type | Channel |
| Username | @NewWorldObservationLog |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/NewWorldObservationLog |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 03:44 | 6,941 | +5 |
| 9 Aug 2026, 21:12 | 6,936 | -2 |
| 6 Aug 2026, 15:40 | 6,938 | +3 |
| 6 Aug 2026, 04:45 | 6,935 | no change |
| 6 Aug 2026, 04:37 | 6,935 | first reading |
19 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 10 pagesof 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 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 19 (25 April 2026 – 11 August 2026) |
| Views total | 17,919 |
| Reactions total | 187 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 02:35 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.
Measured directly from 2 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.
652 reactions across 17 posts, in 11 distinct kinds. The most used accounts for 26.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 170 | 26.1% | |
| 🙏 | 114 | 17.5% | |
| 😢 | 99 | 15.2% | |
| 👍 | 71 | 10.9% | |
| 🫡 | 59 | 9.05% | |
| 🤬 | 42 | 6.44% | |
| 🤯 | 32 | 4.91% | |
| 👎 | 30 | 4.60% | |
| 🤨 | 27 | 4.14% | |
| 😱 | 4 | 0.613% | |
| 🥰 | 4 | 0.613% |
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 17 of the 19 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 652reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 25 April 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.
《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
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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
传统玩具“竹知了”相关短视频被华为以“损害商誉”为由大规模投诉下架,事件迅速登上热搜,律师:用竹知了丑化嘲讽余承东或构成侵权 近日,传统玩具“竹知了”因短视频被华为以“损害商誉”为由大规模投诉下架,事件迅速登上热搜,反而引发网友更猛烈的模仿和购买热潮。 8月2日,潇湘晨报 ·晨视频记者从娱乐法李振武律师处获悉,在竹知了被投诉事件中,相关视频虽未直接点名,但通过余承东的标志性发言,配合竹知了发出的与发布会现场相似的音效,形成了明确的指向性暗喻。 这种“刻意采取暗喻影射、谐音、魔改音频等隐晦方式,戏谑、丑化、嘲讽企业及企业家”的行为,可以认为已经超出了普通网络调侃的范畴。 而且这些视频已经形成了规模化传播,会持续固化戏谑调侃的舆论氛围,潜移默化地影响公众对企业家及品牌的观感。 有被投诉的网友说,“只是展示玩具”“没提品牌名字”就被投诉,我觉得这是一种“歪曲”,这种看法混淆了“明示”与“暗示”的法律界限。 如前所述,名誉权…
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以及那条破消息基本上间接承认了自己的确是在洗稿,而且洗得理直气壮。 考虑到这频道 N 年了都这屌德行完全没有悔过的意思,在这里我只能送您一句话:树不要皮必死无疑,人不要脸天下无敌。 我没觉得何同学德不配位,因为人家原创、懂的反思、认真做事,但是这频道甚至做得不如你们讨厌的何同学,其低劣品格的确是配不上它的订阅数。
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做新闻的时候标注原始来源是基本伦理,稿件参考了同行内容给一个 Link Credit 是基本礼貌。都开始运营一个自媒体了,一些非常基本的东西不需要别人教,犯错了应该立刻道歉检讨优化流程,找理由找台阶既不体面,也不专业。
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那个涉及nature的IIT大瓜脱水 2019 年初,小女孩出生。 2023 年 3 月,女孩 4 岁时,因绘画、书写能力不及同班孩子,语言发育也迟缓,体型瘦弱,肌张力偏低,女孩父母带女孩去医院检查,被确诊为全面发育迟缓。通过基因组测序,发现她得了一种非常罕见的单基因病 Snijders Blok-Campeau syndrome,她的 CHD3 基因的一个位点发生了 C 向 T 的突变,导致一个本该是精氨酸的地方变成了色氨酸,这影响了染色体的组装,导致这个女孩有了类似自闭症的症状。 全球一共有 237 人确诊该罕见病,约 2/3 患者存在智力障碍,但该疾病从轻到重亦存在谱系表现,有专家认为重症患者可能适用基因治疗,但轻症患者存在争议。女孩的父亲是个软件工程师,母亲辞职全职带娃干预,确诊后夫妻俩加入了一个自闭症和类似疾病的家长微信群。 2023 年 7 月,有一位家长参加了仇子龙的报告,报告可能涉及其在雷特综合征中的…
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File, posted without a caption
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寻找散落在风中的兄弟姐妹——中国核试验军人先天性残疾子女互助会聚会公告 序:以消亡为使命 太平本是将军定,不许将军见太平。 我互助会之存在,乃一悖论:若政策完善、通道畅通、医学鉴定机制健全,我等便无存在之必要。然在此之前,必须足够有力,方能让自己"过时"。此即以消亡为使命,以填补空白为职责,以代际正义为归依。 一、我们是谁 中国核试验军人先天性残疾子女互助会,2013年由病友家长自发成立,现有实名会员179名,分布全国18省。 吾辈之父辈,1964至1996年间,隐姓埋名于马兰、罗布泊、戈壁滩,以青春铸国之重器。蘑菇云起时,他们年轻的背影被火光刻进历史;蘑菇云散后,他们把姓名埋进档案,把健康埋进黄沙。 献了青春献终身,献了终身献子孙。 此非修辞,乃生理之事实、历史之债务、代际之正义。 二、我们的立场:因果叙事,而非泛化认定 吾辈主张:核试验军人子女之残疾问题,应通过医学鉴定建立核试验暴露与健康损害之因果关系,…
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一名乡镇公务员之死 殁年27岁,王林明生前是湖南省永州市东安县横塘镇政府的一名综合治理专干、政协专干,一级科员。出事那天,是2025年6月30日,横塘镇刚下过一场雨,河水是浑的,流得很急,横塘镇一名党委副书记喊他去钓鱼。 从2025年5月开始,王林明与这名副书记经常相约钓鱼。后者为此专门拉了一个群,发起过几次钓鱼活动。由于这名副书记计划后期回长沙工作,王林明说,“希望三年后人家回长沙记得我”。 王玲珩得知,弟弟蹚水过了河坝,18时40分左右,同行的同事回头看时,王林明已经消失了。次日下午,遗体在5公里外的下游河道里被找到。这名乡镇基层公务员的意外死亡,在当时并未引起波澜。家人也没有过多追问死因,只因补偿问题一时间谈不拢,迟迟未将其下葬。 但在2026年1月,王玲珩收到的一封匿名信邮件称,王林明在职期间,一人承担了几个人的工作任务,压力大,心态发生消极变化。还有弟弟的同事偷偷联系到王玲珩,提供横塘镇干部违规违纪的举报材…
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如何从0开始拥有自己大脑的模型 最近成功打印了大脑模型,以下是详细步骤: 1. 获得大脑的扫描影像。 博主使用的是头部核磁共振影像。 你需要获得影像的nii文件(一种储存多维医学图像的文件格式,理论上来说CT也是可以的,或许你可以试试)。 注意,nii文件并不能直接用于打印,我们需要进行下一步处理。 2. 使用工具提取脑组织。 在打印时我们并不希望得到骨骼以及肌肉组织,于是需要使用工具进行提取。(注:该步骤可跳过,直接使用下文的3D Slicer工具也可进行分割,只是初学者精度可能相对较低) 这里使用的是hd-bet (Brain Extraction Tool),在PowerShell里先 pip install hd-bet,完成后在命令行进入.nii文件所在文件夹,运行命令:hd-bet -i "input.nii" -o "brain.nii.gz" 路径中最好不要出现中文或空格。 运行完成之后你会获得brain.…
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倒卖救命血,血荒催生的地下黑市 中国“血荒”已久。凤凰网联系到各地医生和血站工作人员,多位受访者表示,疫情之后,无偿献血者明显减少,血库告急成了常态。国家卫健委的数据印证了这一趋势,2024年献血人次较上年下降约7%,为近年来最大单年跌幅。 这构成一个荒诞的现实闭环:当官方的无偿献血体系面临严重失血,一群处于社会底层的边缘人,正用最原始的市场交易,缝补着这个庞大医疗系统的裂缝。 凤凰网辗转接触了4位买卖血液的中介,在地下市场,他们被称为“血牛”,也就是倒卖血液的黄牛。他们有的曾是养猪场工人、汽车配件厂职员,失业以后,通过兼职群或熟人介绍,进入了这个灰色地带。 刘星星是刚入行一个月的“新手”。最近一次失业后,他在兼职群里看到有人发互助献血有补贴的消息,想去试试。按照对方指引,他到附近血站献了400ml全血,拿到了900元报酬,领到了献血证。 走出血站,他看到跟他交易的血牛在和其他客户聊天,便上前攀谈。对方见他颇有“兴趣”…
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校园里的“区别对待”,正在塑造怎样的男孩和女孩? 从2006年开始,我的博士导师牵头进行了一项“南京城市宝宝”研究,对400多名南京出生的婴儿进行了至今近20年的随访。这些孩子们从南京同一家公立医院出生,后来分布在一百多个学校里。追踪这些孩子们的成长过程,我们有了不少有意思的发现。 根据依恋理论,父母可以从多大程度上理解、回应和支持孩子的需求,能让他们产生更安全的依恋模式,有利于孩子未来的发展。我最近的一项研究却发现个结论在男孩和女孩身上完全相反。15岁女孩的数据效应值非常高,说明确实是有利的,符合我们已知的发展心理学理论。但男孩的关系却是负向的,也就是说,婴幼儿时期他的母亲的照料越敏感,男孩15岁的抑郁风险反而越高。 这里我需要解释一下敏感教育。在实验室让妈妈和孩子玩耍时,敏感的表现就是家长能理解孩子的注意力在哪个玩具上。而很典型的一种不敏感,就是家长在不停打断孩子本身的活动,比如拿起另一种玩具,想让孩子和自己互动,这样…
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Showing the 12 most recent of 19 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.
Citation-graph rank — 962,132 of 1,160,990entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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.
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.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“新·世界观察日志” (@NewWorldObservationLog), 6,941 subscribers as measured 13 August 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.