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工事有料

@laborfact

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

528subscribers

-3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002073878555
TypeChannel
Username@laborfact
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live24 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/laborfact

Growth

528531529.57 August 2026 — 531 subscribers8 August 2026 — 531 subscribers8 August 2026 — 530 subscribers16 August 2026 — 529 subscribers24 August 2026 — 528 subscribers7 August 202624 August 2026
5 measurements spanning 17 days, net -3. 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 528–531 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 15:38528-1
16 Aug 2026, 08:27529-1
8 Aug 2026, 08:26530-1
8 Aug 2026, 03:50531no change
7 Aug 2026, 21:46531first reading

Engagement

7 posts held, back to 5 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.3%
avg views ÷ 528 subscribers
Avg views / post
81.0
1 post measured
Reaction rate
6.17%
reactions ÷ views · ER floor
Posts in window
2
of 7 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 1 August 2026
Posts held7 (5 May 20261 August 2026)
Views total81
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:50 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

28 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 64.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1864.3%
👍828.6%
13.57%
🔥13.57%

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 5 of the 7 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 5 May 2026 to 1 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

1 Aug 2026, 15:20 UTC81 views5 reactionsread 8 August 2026
Photo

AI浪潮下的白领劳动困境:技术革新却让工作更沉重 人工智能曾被寄予“解放劳动”的厚望——人们期待技术能承接繁琐的重复性工作,让劳动者拥有更多闲暇与创造空间。然而短短数年间,现实与愿景出现了明显偏差。 2026年5月10日,英伟达CEO黄仁勋在美国一所高校中说到“AI很可能不会取代你,但比你更会使用AI的人,可能会取代你”。 这种“被ai代替”的叙事听起来很熟悉,就像曾经机器代替蓝领工人,或者是纺织工砸毁织布机,把劳动者和他们的技能放在一个无助的被动位置上。而这种叙事和情绪进入劳动场所,在AI模型可以成功代替劳动之前,它本身已经成为管理者压迫劳动者的工具。同时,这样的叙事也忽略了AI模型的应用在每个白领工人身上不同的影响,他们在工作中的学习、适应、判断,并非“代替”一个词可以笼统地替代。日新月异的技术革新并未自动转化为劳动者的福祉,反而在管理权力扩张、劳动规训强化与技能价值稀释三个维度上,重塑了白领群体的工作生态。 阅读全

👍311

20 Jul 2026, 04:11 UTC152 views3 reactionsread 8 August 2026
Photo

高空作业,谁把空调师傅推向窗外? “安全带必须要穿戴好,更重要的是锚点也要打好。对于安全方面的事要非常的小心,一个小小的失误就能造成很大的损失。当然也不能因为安全措施做好了就大意,它也只是一个保险,危险无处不在啊。” 2026年6月16日,空调师傅“千金顶一家”在抖音发布了自己的经历。他不久前在三楼拆空调过程中不慎坠落,造成重伤——住院、手术、两个月在家康复,千师傅依然感到后怕。他详细回忆事故:当天连续拆卸多台空调,人已非常疲劳,而旧空调本身有底角螺丝没有装齐,固定支架脆弱,安全措施也没做到位。他只是下意识拆掉了两颗螺丝,随即外机晃动,整个人被甩下三楼。这一切,都是在多个疏忽和疲劳的堆叠中发生的。 现在,千师傅还躺在病床上,经历漫长的康复之路。他的视频也引起了很多空调师傅的共鸣。在这些经验丰富的师傅口中,我们看到的不是对高空作业的游刃有余或艺高人胆大,而是普遍的“后怕”、“担心”与“痛心”。 阅读全文:https://w

2🔥1

8 Jun 2026, 04:11 UTC820 views9 reactionsread 8 August 2026
Photo

2026劳动调研工坊开始报名啦! “没有调查,没有发言权。” 在消费社会,人们可以购买、享用着一切商品而不必知道流水线工人付出了怎样的代价生产出来的,也可以吃着外卖叫着车而不必去追问骑手和司机过着怎样被压缩到极致的生活。人确实可以毫无好奇心、视而不见的活着,但同时也会错过对社会运作的深度理解的机会,以及失掉去建立更广泛的连接的可能。 你可能已经厌倦了键盘侠们的骂战,或者由算法和社交媒体形成的信息茧房、同温层、回音壁……而在学院里,现有的知识生产惯于研究抽象的问题,而往往没那么关注现实中具体的人。而只有弄明白在微观层面的劳动过程中到底发生了什么,才能理解那些令人疲倦和窒息的时代情绪从何而来,并找到如何打破这种看不见的枷锁的办法。 那么,现在我们邀请你,走出门去,去遇见那些身边的劳动者,无论他们是制造业工人、平台零工、农民、白领、自由职业者……说是调研,无非是去提问,去交谈,去倾听他们的故事,了解他们的希望与困境。人类与AI

9

25 May 2026, 05:26 UTC324 views6 reactionsread 8 August 2026
Photo

打工日记·22|天使折翼,工人失手,遭遇冲压事故的工人们 2026年高新产业迅速发展,机器人布局各类工业产线,但仍有一道不起眼的流程作为机械加工中必须的环节在传统工厂存在——冲压,小到打火机零件的生产,大到新能源汽车的下线都离不开冲压。 自动化不断发展的今天除了无人工厂外,仍有大量的传统人力密集型企业和私人作坊在使用着半自动化设备。同时,因为安全防范程序缺失,每年有大量工人因冲压工作被夺去双手,工伤致残的他们一边饱受病痛折磨,一边担忧着后续的权益保障。受伤在前,保障在后,断手工人丧失劳动能力之后究竟又要何去何从? 阅读全文:https://www.laborfact.com/press-machine-injuries/

6

5 May 2026, 12:58 UTC427 views5 reactionsread 8 August 2026
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打工日记·21|短剧降温后,谁还在拿命换钱? 短剧行业热的时候,很多人把它当成一条还能挤进去的路。演员想靠它进组,服化道想靠它接单,摄影、灯光、场务、导演、副导演、编剧、后期,也都在这条高速运转的链条上找活。短剧一度给人一种错觉:项目多、节奏快、回款快,只要跟得上,就总能挣到钱。可到了2026年春天,这条链子明显慢了下来,有些地方已经开始断裂。 平台收缩真人短剧保底,AI短剧和AI漫剧迅速上来,中小承制公司先扛不住,接着压力就一路往下传。戏少了,价低了,工停了,团队散了。很多人这时才更清楚地看见,短剧行业真正稳定的,从来都不是一线劳动者的收入、工时和保障;一旦行业转向,他们先被压价,先被替代,也先被丢在原地。 阅读全文:https://www.laborfact.com/diary_duanju/

👍5

Showing the 7 most recent of 7 posts we hold for @laborfact. 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.

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

“工事有料” (@laborfact), 528 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/laborfact.

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.