Telegram RegisterThe public register of Telegram

Channel

政治观察

@freedom_watch

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

6,768subscribers

-31 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-1001286091818
TypeChannel
Username@freedom_watch
CreatedBetween 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/freedom_watch

Growth

6,7686,7996,783.56 August 2026 — 6,799 subscribers7 August 2026 — 6,797 subscribers10 August 2026 — 6,782 subscribers13 August 2026 — 6,768 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net -31. 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 6,763–6,804 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 18:166,768-14
10 Aug 2026, 16:556,782-15
7 Aug 2026, 11:266,797-2
6 Aug 2026, 15:496,799first reading

Engagement

9 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 10 pagesof 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 9 posts for this entry, the most recent from 5 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

9 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
666.7%
🙏222.2%
👍111.1%

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 4 of the 9 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 5 May 2026 to 5 June 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 Jun 2026, 02:15 UTC≈1,030 views4 reactionsread 12 August 2026
Forwarded from @twitter_translatePhoto

【六四天安门大屠杀】 这是三十三年前,抗议的学生、工人、和市民被屠杀之后的照片。(图1) 一天后,1989年6月5日,一名双手持购物袋、穿著白色衬衫与黑色裤子的男子,主动挡在了坦克队伍的行进路线上。(图2,图3) source

🙏21👍1

5 Jun 2026, 02:14 UTC≈1,160 views4 reactionsread 12 August 2026

【六四死难者部分名单】 萧波,男,27,北京大学化学系讲师,萧16岁即考入北大技术物理系,6.3.夜,萧赴木樨地劝导学生返校﹐被子弹击中前胸,送复兴医院抢救无效身亡。6月3日是萧波的生日。萧遇难时留下一对孪生子,刚出生才70天﹐其中一子出生时即患有脑瘫。 谢京锁,男,21,6.4.凌晨﹐在西单六部口,先被棍棒打伤﹐下身被打烂﹐后又左胸中弹﹐送市急救中心抢救无效死亡。 女,不详,101路售票员,6.4.凌晨5时许﹐陈尸于东郊红庙十字路口北。 孙彦昌,男,24,建筑筑炉公司司机,6.3.夜,孙离家去找弟弟﹐在东郊红庙110车站总站广场南面,被戒严部队枪弹击中颈椎第四节神经中枢﹐当时由朝阳医院救治﹐半年后医治无效身亡。 宋晓明,男,32 ,航天部二院283厂技术工人,6.3.夜﹐宋走在五棵松十字路口西南方向的人行道上﹐由南边来的军车向喊口号的民众射击﹐子弹穿透宋的大腿根部动脉﹐送301医院﹐持枪的军人命令大夫不准抢救﹐不准

4

5 Jun 2026, 02:14 UTC889 viewsread 12 August 2026

telegra.ph/2019-05-29-边缘化的六四论述八九春夏其实发生的是两场运动-05-28

5 Jun 2026, 02:14 UTC631 viewsread 12 August 2026
Forwarded from @twitter_translatePhoto

1989年6月4日,中国政府屠杀了至少上千名学生、工人和市民。官方宣称的死亡人数为241人。如今,因为政府的管控,中国境内很难搜索到任何与六四大屠杀相关的信息。很多年轻人对这场屠杀一无所知。四年前,18万人曾在香港纪念六四30周年。现在,在香港国安法下,谈论六四可能会面临1年刑期,纪念六四可能会面临5年刑期。如果有可能的话,请花几分钟为六四死难者默哀。请不要忘记当年的抗议者。 相关历史:1989年4月15日,胡耀邦因心脏病发作逝世。在追思的过程中,北京工人与学生提出与新闻自由、民主制度、官员贪污相关的诉求,并与北京市民一起开始了一系列的聚会与抗议活动。6月3日晚间,军队决定镇压抗议,并对民众展开了无差别的屠杀。 source

5 May 2026, 15:13 UTC814 views0 reactionsread 12 August 2026
Forwarded from @twitter_translatePhoto

有些人会说,“那些无家可归的人都是无可救药的懒汉”或者“那些被警察杀死的人都是很暴力很危险的人”。 说实话,我理解这种想法的来源。这些人可能是因为想到一旦资本家和当权者认定自己没有用了,自己就会被扔到街边自生自灭而感到恐惧。这些人也可能是因为想到警察可以随便杀人而不受约束,自己可能随时成为受害者而感到恐惧。 然后这些人尝试让自己相信,“只要我努力工作,只要我遵守所谓的规矩,我一定不会遭受这样的命运”。也许这是这些人从小被教导的“道理”。也许正是这样的“信念”让这些人不再那么害怕。我理解。 但我们不能永远沉浸在幻想之中。只要去认真看看那些陷入贫困的人和那些遭到警察暴力对待的人,我们就会认识到,一个意外一个差池,我们自己也会被社会认定为“无可救药的懒汉”或者“很危险的人”,从而成为系统性的暴力的受害者。拒绝关注这些问题只会让受害者越来越多,让我们每个人都更难获得安稳的生活。 source

5 May 2026, 15:10 UTC573 viewsread 12 August 2026
Forwarded from @twitter_translatePhoto

我曾经无家可归,非常贫困。而在那段时间里,有一次我决定花25刀在一间家居连锁店买下了几支打折的大香薰蜡烛。很多人得知这件事情之后,对我的举动大为光火。Ta们完全不能理解为什么我要在生活一团乱麻,连饭也吃不起、房子也租不起的时候花这个钱。 买下那几支蜡烛之后,无论我晚上睡在哪里,我都会把它们放在我的床边。我起床的时候会把这几支蜡烛收起来,我白天去哪里,我就会把这几支蜡烛放在哪里。那是有三根蜡芯的很大的蜡烛。有一段时间,我会把其中一支蜡烛放在我随身包里。这些蜡烛,从来没有点过,但我会经常把它们的包装打开,闻闻它们的气味。 我能从无家可归的绝境走出来,过上我现在的生活,这几支蜡烛功不可没。无家可归的时候,我不得不为了微薄的薪水,每天勤勤恳恳工作15小时以上。我还得不断和各种公益组织联系,尝试寻求帮助,摆脱绝境。买蜡烛的时候,这种日子我过了已经整整一年。我的身体已经完全支撑不下去了,我总是疲惫到全身颤抖的地步。那时候我买下的三根蜡烛

5 May 2026, 15:09 UTC407 viewsread 12 August 2026
Forwarded from @twitter_translatePhoto

“我不能这么做,因为这么做有违我的信仰。” —— 这是信仰自由。 “你不能这么做,因为这么做有违我的信仰。” —— 这不是什么信仰自由。 source

5 May 2026, 15:09 UTC432 views1 reactionsread 12 August 2026
Forwarded from @twitter_translatePhoto

在还未成年的时候,我曾经尝试过逃离家庭,却发现自己根本无法获得任何社会救济,只能在走投无路之后再次回到虐待我们的父母的身边。因此当看到有人故意曲解“儿童解放”这个概念的时候,我真的很生气。我们应该建设一个能允许曾经的我离开家庭获得庇护、为我自己和我弟弟的安全争取保障的社会,而这,就是“儿童解放”。 在这样一个社会里,遭到忽视的孩子们有权为自己争取必要的医疗服务。 在这样一个社会里,孩子们能接受到“如何为自己争取权利”的相关教育,学会如何为自己发声,有效表达自己的需求和意愿。 在这样一个社会里,所有人都必须以平等的态度对待孩子,尊重孩子的身体自主权,保障孩子不被剥削和虐待的权利;家长无权强迫孩子接受不必要的医疗干预(如强迫间性人孩子接受“性别矫正”),也无权禁止孩子接受医疗服务;同时,家长无权以“在家教学”为名隔离或监控孩子。所有从家长手中夺回的权利,必须回归孩子本人,而不是交由任何其它人代为行使。 “儿童解放”不仅仅是确保孩子

1

5 May 2026, 15:07 UTC276 viewsread 12 August 2026
Forwarded from @twitter_translatePhoto

=== 直面关于“家长权利运动”的四个谎言 === * 什么是“家长权利”运动? 在加拿大各地,一些团体正以“家长权利”为名瞄准性少数学生,践踏性少数学生在学校的安全感和归属感,推动危及学生安全的政策,例如: 强制披露 - 强制学校在学生更改昵称或人称代词时告知家长。 限制使用 - 限制学生使用包容性洗手间和更衣室。 课程禁令 - 禁止或限制与性少数相关的教材或课程内容。 * 谎言一:“家长应该完全掌控孩子的生活” 孩子不是财产。 《加拿大权利与自由宪章》从没有提到“家长权利”几个字,它保障的是所有人的权利,包括儿童。 虽然《加拿大权利与自由宪章》赋予了每个人信仰和价值观的自由,但并不允许家长以此为由限制孩子的言论和表达自由。 1993年,加拿大法院裁定,在所有涉及孩子的情况下,必须优先考虑“孩子的最佳利益”。 在决定什么是“孩子的最佳利益”时,加拿大作为《联合国儿童权利公约》的签署国,承认: 儿童有权接受教育并形成自己的观

Showing the 9 most recent of 9 posts we hold for @freedom_watch. 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 — 1,312,899 of 1,345,403entries 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

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

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

“政治观察” (@freedom_watch), 6,768 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/freedom_watch.

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.