https://www.hrw.org/zh-hans/news/2026/05/07/un-guidance-on-dismantling-gender-stereotypes

Channel
平权观察
@equality_and_rights
On this record: Growth · Engagement · Posts · Citations · Cite this entry
2,093subscribers
-14 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001409716127 |
|---|---|
| Type | Channel |
| Username | @equality_and_rights |
| Created | Between 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/equality_and_rights |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 05:59 | 2,093 | -8 |
| 12 Aug 2026, 12:03 | 2,101 | -3 |
| 9 Aug 2026, 15:21 | 2,104 | -3 |
| 6 Aug 2026, 16:34 | 2,107 | no change |
| 6 Aug 2026, 16:22 | 2,107 | first reading |
Engagement
6 posts held, back to 7 May 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 2 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 6 posts for this entry, the most recent from 9 May 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
这个世界上有两种人: 1. “我受过苦,所以你们也得受苦才公平。” 2. “我受过苦,所以我会竭尽所能让别人不再受我这份苦。” source
请允许我再次为大家敲响警钟: 让我们把关注点放在“这件事情有没有伤害到别人”上,而不是“这件事是不是很恶心”上。 如果你不确定该怎么看待某个事情,又或者如果有人义正严辞告诉你某个你一时间想不明白的复杂事情该如何如何看待,然后让你“别想了赶快行动”,请一定要停下来问问自己,“这件事情有没有伤害到别人”。 你的做法是不是真的让那些受到伤害的人免受了至少一部分伤害?这些伤害是不是真实存在的伤害?如果你的做法减少了“某个假设情形下有人受伤害的可能性”却给另一些人造成了实实在在的伤害,那十有八九你是受到了某种宣传洗脑的误导,不小心成为了加害者的走狗。 如果你接受到的信息不断在和你说,某些事情很恶心所以你必须怎么怎么做,那些信息很可能是要把你推向极端。如果你被激起了某种情绪所以要去做某个事情,那你很可能是被操纵了。很遗憾,现在不是90年代了,社交媒体的兴起早已把诚信消磨殆尽了。如今,你信以为真并加以转发的帖子里很可能至少一半是完全虚…
艾莉森·贝克德尔是美国著名的漫画家。她的性向和“越轨”的性别表达是她漫画中经常出现的主题。 在这则漫画中,艾莉森·贝克德尔叙述了自己的出柜经历。 source
我觉得每个人都该思考这个问题 —— 当我看到什么样的人物形象的时候,我会觉得那一定是个心地残忍的人? 在回答完这个问题之后,紧接着再问自己一个问题 —— 我这样的想法是哪里来的? ❶ 如果在英雄片里,那个身体有残缺的形象一定是大魔头,那为什么经历过同样险峻的战斗的主角却从来不会因为战斗负伤而失去一条胳膊,或是一条腿,或是一只眼睛? ❷ 为什么在科幻片里,反派的肤色都更黑?而主角的肤色都更白? ❸ 为什么影片里贪婪成性的老板总是更胖?而主角总是更瘦? ❹ 为什么谍战片里,反派的军师总是伤痕累累,而因为过去的战斗留下了深重心理阴影的主角却没有留下任何伤疤? ❺ 为什么伺机害人的变态总是长着胡子化浓妆穿裙子的人?为什么从来没有跨性别女性成为主角? ❻ 你打算维持这样的偏见吗? ❼ 你打算让你自己创作的作品也充满这样的偏见吗? 不要不加反思把你耳濡目染造成的偏见再次写进你的小说或同人文里。 另外,我看到评论里有很多人提到了影视文…
艾莉森·贝克德尔是美国著名的漫画家。她的性向和“越轨”的性别表达是她漫画中经常出现的主题。 在这则漫画中,艾莉森·贝克德尔叙述了自己的出柜经历。 source
Showing the 6 most recent of 6 posts we hold for @equality_and_rights. 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 — 691,440 of 1,480,975entries 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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“平权观察” (@equality_and_rights), 2,093 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/equality_and_rights.
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.