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Channel

共工社

@CLPOfChina

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

5,384subscribers

-38 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-1001387299794
TypeChannel
Username@CLPOfChina
Created3 August 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live26 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 26 August 2026
On Telegramt.me/CLPOfChina

Growth

5,3845,4225,4036 August 2026 — 5,422 subscribers6 August 2026 — 5,422 subscribers7 August 2026 — 5,421 subscribers10 August 2026 — 5,406 subscribers14 August 2026 — 5,400 subscribers17 August 2026 — 5,392 subscribers20 August 2026 — 5,391 subscribers26 August 2026 — 5,384 subscribers6 August 202626 August 2026
8 measurements spanning 20 days, net -38. 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 5,378–5,428 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Aug 2026, 06:245,384-7
20 Aug 2026, 02:115,391-1
17 Aug 2026, 10:225,392-8
14 Aug 2026, 00:135,400-6
10 Aug 2026, 11:305,406-15
7 Aug 2026, 02:125,421-1
6 Aug 2026, 07:005,422no change
6 Aug 2026, 06:585,422first reading

Engagement

21 posts held, back to 13 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.36%
avg views ÷ 5,384 subscribers
Avg views / post
450
4 posts measured
Reaction rate
0.243%
reactions ÷ views · ER floor
Posts in window
4
of 21 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 1 of 4 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 10 August 2026
Posts held21 (13 June 202610 August 2026)
Views total1,801
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:20 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

Video runtime
9s
Average length
9s

Measured directly from 1 video 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

47 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 44.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2144.7%
1429.8%
😢48.51%
🤬36.38%
🥱24.26%
👎12.13%
🤔12.13%
🥰12.13%

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 12 of the 21 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 47reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 13 June 2026 to 10 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

5 Aug 2026, 05:26 UTC412 views1 reactionsread 12 August 2026

逼近40℃,“制服蒸笼”困住环卫工 #工人新闻 密不透风的环境下,女性环卫工还要面临另一重考验:泌尿系统感染。相对男性,女性尿道更短且直。在高温天气下,厚重的制服会营造出密不透风的内部环境,内衣被汗液浸湿,容易感染泌尿系统,如果正好处于生理期,风险会进一步增加。 有时热过头,方诚会感到心慌,犯恶心。这是先兆中暑的症状,但她不能去医院。去医院要请假,请假要扣钱,还不一定给批。去年有次她因为身体不适,去医院看病,“上面领导可能觉得是装病,要请假还不给请,反正没报销”。 她唯一能做的,是不舒服的时候,赶快喝几口藿香正气水。这药是公司发的,四年里发过3盒,一盒10支。 她想着,天再热,药也得省着点喝,喝完就没有了

👍1

30 Jul 2026, 03:53 UTC648 viewsread 12 August 2026

如何推动破解超龄劳动者的维权困境?记者采访

27 Jul 2026, 15:20 UTC736 views21 reactionsread 12 August 2026

八年前,2018年7月27日,深圳坪山警方拘捕了30名声援佳士工人组建工会,要求惩处打人黑警的工人和声援群众。佳士事件就此升级,佳士工人声援团也在此后诞生。 “黑厂佳士的十八禁,把血汗钱都榨尽”。对普工而言,佳士厂是不折不扣的人间地狱。在这里,过度劳动、打骂员工与肆意罚款只能算小事,强制活动、厕所偷窥、非法开除同样司空见惯。为进行镇压,该厂的管理人员更曾发起一个维权工人黑名单,意图让任何敢于以任何手段反抗的工人被附近的所有企业拉黑。 面对工人的投诉与反抗,坪山区总工会曾提出可以组建工会去解决问题。筹建工会的工人按规定组织了《申请加入佳士工会意愿表》联名签字。在资方迅速介入,最终将带头的工人扔出厂外的情况下,该联名仍获得了89名工人的签字。 面对暴力开除,面对当地警方偏袒资方的选择性执法,被开除出厂的工人展现出了勇气与韧性。他们在厂区大门前抗议,在下班时段向群众宣讲,要求建立工会,严惩打人黑警,直至7月27日的大抓捕。 我站立山

👍152🥱2👎1🥰1

22 Jul 2026, 14:12 UTC756 views2 reactionsread 12 August 2026

从各主要官方媒体的报导口径来看,中特色政府是希望将这起骇人听闻的水库事故,定义为“短时强降雨超出水库蓄洪能力”导致的天灾。这种天灾叙述,可以最大限度地保护特色党的威信,保护官员的仕途,维护统治阶级的统治与社会稳定。 但自由派媒体《南方周末》采访水库站长的一篇报导则给这套天灾叙述撕开了一个口子。 且不提应急响应中必然存在的滞后,推责等特色官场的经典剧目,且不论水库的管理、调度、泄洪,竟只靠一个只有45人,需同时管5个水库的服务站。光是这座现代化改造后的“样板水库”本身,就存在着这些荒诞的问题: •2009年的除险加固工程,因质量不过关,至今竣工验收不了 •事发前水库坝顶有裂缝,后面是由服务站垫钱买沥青和沙煮来填裂缝的 •用于保护主坝的自溃坝长期遭碾压被加固,影响自溃功能 •雨情测报系统失效尚未修复,只得采用原始且落后的人工读取方法获得水位数据 腐败无能的特色政府,在事前只会用形式主义捏造发展成就,在事后只会掩盖灾情和责任,害怕灾

👍2

21 Jul 2026, 17:42 UTC707 views3 reactionsread 12 August 2026

河北唐山的农民工刘全,被拖欠五万六千元工资,他走了所有合法的路,历时一年八个月,最终被劳动监察大队撤案了。 合法渠道全部走不通后,走投无路之下,他被迫选择了犯罪的方式。 他在25年4月引爆了炸弹,而在25年12月,他就被提起公诉,判了六年,赔款九万余元。从事发到开庭,时间是八个月左右。刘全被判刑后,他被拖欠的工资依旧没有着落! 同样是法律,面对需要维权的工人时,法律展现出无处不在的漏洞与低效:要求证明劳动关系存在,要求报案和事发地在同一辖区,还可以“对方律师已提供结清证据”这样的空头支票来结案撤案。面对老板和官员时,法律展现出高效和严酷:可以立即采取强制措施,可以“领导要求”终结案件,可以给工人强加罪名,可以对工人实施诱供,可以扣上危害公共安全的帽子,可以对身无分文的工人处以六年的刑期和高于工人声索工资额的经济赔偿。 整个事件中,那些当官的人,目的一贯而非常明确:坚决地镇压工人,磨掉工人的耐心,耗尽他支撑讨薪的财力,找到一个机会

🤬21

20 Jul 2026, 13:23 UTC599 viewsread 12 August 2026

高空作业,谁把空调师傅推向窗外? 来源:工事有料 #工人新闻

16 Jul 2026, 13:32 UTC704 views3 reactionsread 12 August 2026
Video

罪恶的倒班制度正在吞噬工人的生命 “每天12小时,没有休息。一年到头最多放假6天。” “上夜班的都是拿自己的生命再赌那点工资!” 2026年6月21日,抖音博主江悠辞.发布了浙江飞耀鞋业有限公司的工厂事故相关视频。画面定格在一个厂房车间,一位男工人倒地,身上仅着浅色裤子,似乎已经失去意识,紧急救护正在进行,周围工友神色紧张。作者在简介里说,“都不容易啊,该休息还是要休息的”,没有更多修饰。 评论区里,类似经历不断被复述。有人说在浙江许多工厂14到16小时班是常态,有人一年只休6天,还有人通宵连轴转,“国内不是没有12小时吗 都是8小时双休”,现实却相去甚远。一些工人反映连续发烧、心脏病、甚至猝死现象频发。“我们厂今晚也挂了一个,中暑。”有工友讲起“请假只是通知 不是申请”,即便生病,公司也会要求“再坚持一下”。 来源:工劳网

3

14 Jul 2026, 12:53 UTC775 viewsread 12 August 2026

《晋江鞋厂纵火案:一桩未了的公案》 二〇二六年七月九日,福建晋江陈埭镇江头村辉腾鞋业有限公司厂房突发火灾,二十八人遇难。陈埭镇,这个被称为"中国鞋都"的晋江小镇,再次以最沉重的方式进入公众视野。而当我们把目光投向二十九年前的同一片土地——一九九七年九月二十一日,陈埭镇横坂村裕华制鞋厂那场夺去三十二条生命的大火——会发现,时间过去了将近三十年,但有些东西几乎没有改变。

13 Jul 2026, 21:45 UTC737 views2 reactionsread 12 August 2026

因微博转发农民工讨薪相关事件而遭抓捕的甘肃公益人士景树仁案将于2026年7月20日开庭

2

10 Jul 2026, 15:07 UTC858 views4 reactionsread 12 August 2026

晋江鞋厂失火前天被查出消防隐患 事发时正值午休,留在厂内的工人本想“多做一会儿,多赚点钱。”

😢4

Showing the 12 most recent of 21 posts we hold for @CLPOfChina. 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 — 474,931 of 1,621,120entries 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.

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 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.

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

“共工社” (@CLPOfChina), 5,384 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/CLPOfChina.

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.