ai到底为谁服务? 最近,央视新闻在b站的一段视频《我蹲进AI短剧公司,“挖”到不少行业秘密》引了众怒。 该视频主要内容,是介绍一个在号称“3000元算力成本,48小时,3个人,产出80集,获5亿播放量”的ai短剧《霍去病》的导演。 👉 点击查看原文
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Channel
@eventstracing
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
20,386subscribers
-204 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001770140333 |
|---|---|
| Type | Channel |
| Username | @eventstracing |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/eventstracing |
Politics & activism — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 03:21 | 20,386 | +5 |
| 16 Sept 2026, 19:16 | 20,381 | -19 |
| 14 Sept 2026, 18:55 | 20,400 | -13 |
| 13 Sept 2026, 04:18 | 20,413 | -11 |
| 11 Sept 2026, 04:19 | 20,424 | -11 |
| 8 Sept 2026, 04:17 | 20,435 | -27 |
| 4 Sept 2026, 23:58 | 20,462 | -5 |
| 3 Sept 2026, 10:16 | 20,467 | -3 |
| 2 Sept 2026, 04:02 | 20,470 | -5 |
| 1 Sept 2026, 03:07 | 20,475 | -5 |
| 31 Aug 2026, 03:07 | 20,480 | -9 |
| 30 Aug 2026, 01:18 | 20,489 | -12 |
| 28 Aug 2026, 23:04 | 20,501 | +1 |
| 27 Aug 2026, 23:24 | 20,500 | -1 |
| 26 Aug 2026, 23:03 | 20,501 | -21 |
| 25 Aug 2026, 22:34 | 20,522 | -3 |
| 25 Aug 2026, 01:53 | 20,525 | -20 |
| 23 Aug 2026, 13:18 | 20,545 | -9 |
| 21 Aug 2026, 21:56 | 20,554 | +4 |
| 20 Aug 2026, 14:44 | 20,550 | first reading |
355 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 57 pages of 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 138 of 146 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 355 (6 August 2026 – 2 September 2026) |
| Views total | 54,564 |
| Reactions total | 1,098 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 00:16 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.
2,319 reactions across 331 posts, in 24 distinct kinds. The most used accounts for 76.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,768 | 76.2% | |
| ❤ | 219 | 9.44% | |
| ❤🔥 | 125 | 5.39% | |
| 🔥 | 36 | 1.55% | |
| 👎 | 34 | 1.47% | |
| 👏 | 33 | 1.42% | |
| 😭 | 24 | 1.03% | |
| 😡 | 21 | 0.906% | |
| 💩 | 8 | 0.345% | |
| 😁 | 7 | 0.302% | |
| 🤔 | 6 | 0.259% | |
| 🍾 | 5 | 0.216% | |
| 🤡 | 5 | 0.216% | |
| 😢 | 4 | 0.172% | |
| 🤯 | 4 | 0.172% | |
| ⚡ | 3 | 0.129% | |
| 💯 | 3 | 0.129% | |
| 🤮 | 3 | 0.129% | |
| 🥰 | 3 | 0.129% | |
| 🌚 | 2 | 0.086% | |
| 4 further kinds | 6 | 0.259% |
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 331 of the 355 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 2,319 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 355 most recent posts we hold, published 6 August 2026 to 2 September 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.
ai到底为谁服务? 最近,央视新闻在b站的一段视频《我蹲进AI短剧公司,“挖”到不少行业秘密》引了众怒。 该视频主要内容,是介绍一个在号称“3000元算力成本,48小时,3个人,产出80集,获5亿播放量”的ai短剧《霍去病》的导演。 👉 点击查看原文
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从黄磷泄露事件看自觉革命的必要性 8月4日,云南昆明一化工厂发生了黄磷泄漏,当地出现大范围有害白色烟雾,对居民产生了健康上的影响,并且威胁着居民的生命安全。随后,当地村委发布通知,要求周边村民紧急转移。网传群聊截图显示,相关处置工作完成时间尚未确定。通知称,建议村民优先自行前往昆明投亲靠友避险;无法前往的村民需携带被褥前往集中安置点(松林庄客厅),并要求转移过程中全程佩戴口。8月5日,官方发布通报,该事件是由于相关人员在装卸货物时发生火情引起的,现涉事企业已停产。目前,官方尚未公布烟尘扩散范围及完整监测数据。 👉 点击查看原文
评“甲醛白菜”事件 8月22日,博主“渔猎齐哥”发布视频《揭秘甲醛白菜》,称其前往国内大白菜主要产区河北张家口,调查当地白菜种植、采收及运输情况。 视频显示,白菜种植区域内有多辆运输车辆停靠,大量已采收白菜等待装运。现场装运工人被拍到对部分待运输白菜进行“蘸药”处理,画面中还出现疑似装有甲醛溶液的容器。 👉 点击查看原文
千钧棒——紧追穷寇——批《一篇对左派文章的逻辑分析》 机会主义总是想变着法子,污蔑正确路线,再由诸如像扩大政治影响力、冲塔一样的将无产阶级拖入泥潭当中。而我们必须要着手建立一个无产阶级先锋队,遵循着政治路线,这样才能将无产阶级团建起来推翻资产阶级专政 👉 点击查看原文
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“贵州老表”的逝世—— 一名无产阶级同志无可奈何的抉择 大家都叫他“贵州老表”,其姓名为:“彭仕运”。他一笑起来,似是有些狰狞但也如此淳朴。近期各网友对他的纪念热情之高涨、对于其意外逝世之同情、对其事迹历程之共鸣。 👉 点击查看原文
千钧棒--紧追穷寇--暗淡的《运动公告》,鲜明的路线斗争 最近机会主义看到手工业融工受挫失败,宁愿想破脑袋也不承认手工业融工的错误,不承认政治报路线建立地下革命家组织、工业化融工的正确,最后终于绞尽脑汁想到了圆场的办法,那就是变左倾为右倾,跳到理论学习、思想斗争里面去,又把融工束之高阁。整体上看,机会主义呈现出了这种趋势,从具体机会主义组织上看,一个新冒出来的叫“革命与组织协调”的机会主义小组,就提出了转到思想斗争中去,矮化路线斗争为思想斗争,把立场问题矮化为思想认识问题,妄想将其他机会主义者纳入麾下,这些都体现于他们的《对中国社会主义运动公告》之中。 👉 点击查看原文
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无奈的王老师和歇斯底里的家长——看资产阶级社会对人的压迫 最近,抖音上靠解决学生身心健康问题来谋生的王老师迎来了一场灾难性的家长连麦。这位家长始终认为自己没有问题,始终在不停的表达孩子懒,假装自己累这疼那疼不肯学习,认为孩子所出现的各种症状都是不想去学校的借口,动口就是找工作好大学,孩子自己的一点特殊爱好被认为是不务正业。王老师想说几句话都被打断好几次重复上文的叙事,这样顽固的不可理喻、歇斯底里的状态与其以至于有网友吐槽到:要解锁中国人能飞的特殊CG(轻生)了。 如果单从表面看,似乎就是一个所谓低认知家长摧残孩子的悲剧,但马列毛主义者绝不会停留在这层表面,任何社会现象、社会思想都有其相应的物质基础,且让笔者为您分析。 👉 点击查看原文
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马列毛主义与革命左翼 时事评论 🔑 入群审核 ⚠️ @maoistQAIIbot pinned a photo
从韩杰医生案出发,看当今的医疗问题 就在最近韩杰医生案的二审结果出来了,依然是维持原判,此消息一出就迅速的在群众和医疗行业中引起了轩然大波,并且一定会对未来的整个医疗体系和医患关系造成不可逆的影响,要说这个事情本身或许有过错,但是绝对到不了以医疗事故罪判刑的程度,这是直接开了一个漏诊误诊刑事追责的头 👉 点击查看原文
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中修机器人跑赢博尔特?技术进步究竟服务于谁? 从中修机器人跑赢博尔特事件,再到疯狂的追捧,以所谓“科技是第一生产力,本质还是回避了核心的阶级问题:机器人等智能技术到底掌握在那个阶级谁手里?并基础上服务于无产阶级的解放?而马列毛主义就必须要透过本质的阶级角度看问题。 👉点击查看原文
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借《辐射》系列展开说对暴力的娱乐化和资本主义对核战的荒诞幻想 辐射系列乃资本主义黑文艺样板戏中一大非常具有特色的缝合作品,系列自1997年诞生以来,它从90年代的硬核PC角色扮演游戏,发展为开放世界3A游戏,再到如今风靡全球的真人电视剧,已经成为资本主义文化中极具辨识度的核战末世大IP。IP的出圈和扩张也鉴于近几年现实中的中美帝国主义之间的争霸竞赛与辐射系列设想的中美对抗的世界观设定极为相似,也因此逐渐被圈外更多人所知和关注。游戏中对核战存在大量脱离现实的设定和对黑色暴力的荒诞描绘,这是因为为了更好的在市场经济中兜售一款娱乐电子商品,世界观的‘丰富’设定是必要的商业化塑造环节,能具有更好的市场存活度和操作空间,潜在的IP升值潜力更大,更容易扩大销售渠道和IP影响力,更卖的起价格。而资本主义娱乐的商业运作只在乎炒作概念和刻板印象来制造卖点,完全不在乎与现实的联系和逻辑,末世题材的无厘头、无逻辑、漠视科学和现实是资本家不在乎的,只…
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牛来闹剧分析 《牛来》突然爆火,其背后究竟是什么原因?这次事件又反映了资本主义社会的什么问题? 👉 点击查看原文
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Showing the 12 most recent of 355 posts we hold for @eventstracing. 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.
@eventstracing 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.
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.
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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“马列毛主义与革命左翼 时事评论 🔑 入群审核 ⚠️ @maoistQAIIbot” (@eventstracing), 20,386 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/eventstracing.
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.