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Channel

静观世间百态

@jingguanshijianbaitai

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

44subscribers

+1 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001357253913
TypeChannel
Username@jingguanshijianbaitai
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live19 September 2026
Measurements held3
Confirmed unchanged6 times, most recently 19 September 2026
On Telegramt.me/jingguanshijianbaitai

Growth

434443.56 August 2026 — 43 subscribers10 August 2026 — 43 subscribers13 August 2026 — 44 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net +1. 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 43–44 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 05:0644+1
10 Aug 2026, 16:1643no change
6 Aug 2026, 16:2243first reading

Engagement

11 posts held, back to 18 September 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 26 November 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
23m 03s
Average length
2m 18s

Measured directly from 10 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.

Recent posts

26 Nov 2025, 01:04 UTC54 viewsread 10 August 2026
Video

11月22日,抖音上多名网友发视频反映自己的安卓手机自带系统莫名奇妙地被添加了 #器官捐献 选项。 网友:所有权都是国家的,自愿与否已经不重要了!当年疫情也是“自愿”封在家里!当年计划生育也是“自愿”的!

26 Nov 2025, 00:56 UTC39 viewsread 10 August 2026
Video

🔥墙内消息:#黑龙江 绥化公立医院爆发 #大规模罢工,医护集体上街讨薪 👉五个月没发工资+多年社保断缴,二甲医院直接停摆:连医生都被逼到街头维权了 1️⃣ 事件经过:工资断五个月,全院停摆式抗议 💠 11 月 20 日,黑龙江绥化市 #人民医院 🏥多科室医护人员集体罢工,举横幅喊出“还我血汗钱”。 💠 医护称:医院连续 5 个月未发工资,并多年未正常缴纳医保、社保。 💠 一名女医生现场哭喊:“医院挣钱了,我们的钱去哪儿了?” 2️⃣ 现场冲突:警方驱散,医护怒怼 💠 警察到场试图驱离维权人群,一名女职工情绪崩溃对着警察怒吼:“你们没有权力管!给我们条活路!” 💠 罢工导致部分科室停摆,挂号窗口无人值守,医院内部秩序陷入混乱。 3️⃣ 多年旧账一次爆发:欠薪从来没停过 💠 2020 年疫情期间,绥化医院员工曾公开反映:#抗疫人员工资被拖欠 3–4 个月,“让我们怎么活?” 💠 2023 年,有职工实名举报院长: • 13 年…

26 Nov 2025, 00:53 UTC26 viewsread 10 August 2026
Video

这个老师的单词记忆大法太牛了,我当初读书的时候如果有这样的老师,也不至于每次英语考试都是交白卷了。

26 Nov 2025, 00:51 UTC22 viewsread 10 August 2026
Video

北京良心医生今天揭露内幕,土共器官移植分六大步骤,年轻人了解之后还有机会逃命

26 Nov 2025, 00:35 UTC23 viewsread 10 August 2026
Video

中国富不富不知道,反正领导富了。河北一个村长的房子比美国白宫略大一丢丢。

26 Nov 2025, 00:27 UTC22 viewsread 10 August 2026
Video

广州海珠区一小学瞒着家长给小孩抽血,全程没有一个家长知情到场,据小朋友交代班主任对他们说这是秘密任务,如果告诉家长会被扣小红花。面对家长质问时班主任手机关机,学校负责人说可能是有些班主任忘记通知家长了。他们为什么要偷偷摸摸抽孩子的血?

20 Sept 2024, 11:35 UTC125 viewsread 10 August 2026
Photo

📣 毛魔头对侵华的大日本皇军情真意切、感激不已!

20 Sept 2024, 11:28 UTC105 viewsread 10 August 2026
Video

螃蟹都变异了、海鲜真要少吃了……#螃蟹🦀 #海鲜 -

20 Sept 2024, 11:17 UTC77 viewsread 10 August 2026
Video

🔥 9月17日,抖音博主“郑州贺先生”上传一视频,讲述其购买的融创期房烂尾后所经历的磨难,其中包括“小黑屋”、拘留所(被虐待)。从拘留所释放后,博主拍此视频“感谢”郑州融创......

19 Sept 2024, 02:08 UTC14 viewsread 10 August 2026
Forwarded from @shixun160Video

自助餐玩狠活儿 欢迎您加入 🥗『视讯快报』

18 Sept 2024, 14:01 UTC15 viewsread 10 August 2026
Forwarded from @shixun160Photo

真主党 通讯设备同时 #爆炸 以色列摩萨德进行了一次特别行动, 以色列成功破解了便携式 寻呼机(这些设备用于秘密通讯)并将其引爆,打击造成数十名真主党成员重伤。] 欢迎您加入 🥗『视讯快报』

Showing the 11 most recent of 11 posts we hold for @jingguanshijianbaitai. 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

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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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

“静观世间百态” (@jingguanshijianbaitai), 44 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/jingguanshijianbaitai.

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.