Telegram RegisterThe public register of Telegram

Channel

多元性别中文阅览室

@transchinese

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

590subscribers

+0 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-1002276357575
TypeChannel
Username@transchinese
Description一个致力于传承、传播跨性别与多元性别的知识、文化与故事的中文平台。 https://transchinese.org/ 资源库请访问 https://t.me/transchinesedata
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/transchinese

Growth

5907 Aug 2026, 23:56 — 590 subscribers8 Aug 2026, 03:18 — 590 subscribers7 Aug 2026, 23:568 Aug 2026, 03:18
2 measurements taken within a single day. 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 589–591 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 03:18590no change
7 Aug 2026, 23:56590first reading

Engagement

19 posts held, back to 25 June 2025the 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
188.1%
avg views ÷ 590 subscribers
Avg views / post
1,110
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 19 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 16 July 2026
Posts held19 (25 June 202516 July 2026)
Views total1,110
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:18 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

Photos
42
Links
69

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

40 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2460.0%
👍1537.5%
😢12.50%

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 8 of the 19 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 40reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 25 June 2025 to 16 July 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

16 Jul 2026, 00:45 UTC≈1,110 viewsread 8 August 2026

自己的文章自己推薦 這一篇文章透過用全球最大反跨品牌Grok AI來告訴你,AI也是有立場的,而且可能還是包裝過的。我們用一次實測,帶你看懂 AI 的「中立」是怎麼被設定的,以及為什麼這件事對某些人特別危險。 https://ethome.cc/grok-ai-neutrality-cross-language-test/

23 Jun 2026, 19:18 UTC674 viewsread 8 August 2026
File

「帮转」一个和酷儿影视粉丝字幕翻译实践(Queer Fansubbing Practices)有关的学术研究,主要是探索这类实践活动与中国跨性别及性别多元群体的社群经验之间的关系。 研究计划招募约15-20位参与者,面向曾参与酷儿相关影视字幕翻译的字幕组成员或独立译者,并进行一对一线上半结构式访谈。

4 Apr 2026, 16:51 UTC≈1,390 viewsread 8 August 2026

潘柏林医生2026年3月31日文章之存档 telegra.ph/今天是跨性别现身日分享一些纪录片与访谈-03-31 | source

22 Feb 2026, 17:15 UTC≈1,480 views1 reactionsread 8 August 2026

https://mastodon.social/@diyin/116109786333820420

😢1

2 Dec 2025, 19:13 UTC≈1,290 viewsread 8 August 2026

https://x.com/amber_toffee/status/1994763643737837804 amber ଳ⋆.ೃ࿔*・ : 前段时间我们亲爱的 @phosphas 狐老师的硕士毕业论文也发了,各位感兴趣的话也可以看一下

2 Dec 2025, 19:13 UTC≈1,440 viewsread 8 August 2026
File

成人性别焦虑/性别不协调者的内分泌管理:印度内分泌学会临床实践指南。《印度内分泌与代谢杂志》 原文 Endocrine Management of Adult Gender-Dysphoric/Gender-Incongruent Persons: A Clinical Practice Guideline from Endocrine Society of India Majumder, Anirban; Sanyal, Debmalya; Chaudhuri, Soumyabrata R. https://journals.lww.com/indjem/fulltext/2025/07000/endocrine_management_of_adult.3.aspx 由丁香园ClinMaster翻译

2 Dec 2025, 19:13 UTC≈1,870 viewsread 8 August 2026
File

【用药助手_翻译】2024_SFEDP专家共识:跨性别青少年的内分泌管理 【用药助手_翻译】2025_ISPN声明:_跨性别者和性别多样化青少年的心理健康护理 來自 [1]. Endocrine management of transgender adolescents: Expert consensus of the french society of pediatric endocrinology and diabetology working group https://www.sciencedirect.com/science/article/pii/S0929693X24001763 [2]. Mental health care for transgender and gender diverse youth: Statement of the International Society of Psychiatr

15 Oct 2025, 19:22 UTC≈1,740 views1 reactionsread 8 August 2026

> 二是性少数群体。部分性少数群体不仅可能遭受来自伴侣的暴力,还可能因为不符合传统社会规范的性取向遭受父母殴打、软禁、辱骂以及强制医疗等方式的暴力伤害。现阶段,性少数群体在申请人身安全保护令时面临法律和公序良俗的双重阻碍。 https://web.archive.org/web/20251013072425/https://www.spp.gov.cn/spp/llyj/202410/t20241023_669617.shtml http://archive.today/2025.10.13-072234/https://www.spp.gov.cn/spp/llyj/202410/t20241023_669617.shtml

1

Showing the 12 most recent of 19 posts we hold for @transchinese. 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 — 1,040,976 of 1,189,255entries 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

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

“多元性别中文阅览室” (@transchinese), 590 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/transchinese.

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.