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Telegram profile photo for 屠支教堂⛪️

Channel

屠支教堂⛪️

@wulangxinwen

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

132subscribers

-1 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-1001150544367
TypeChannel
Username@wulangxinwen
CreatedBetween 1 October 2019 and 30 November 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/wulangxinwen

Growth

132133132.57 August 2026 — 133 subscribers9 August 2026 — 133 subscribers15 August 2026 — 132 subscribers7 August 202615 August 2026
3 measurements spanning 8 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 132–133 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 10:56132-1
9 Aug 2026, 00:30133no change
7 Aug 2026, 18:48133first reading

Engagement

15 posts held, back to 27 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 1 pageof 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 15 posts for this entry, the most recent from 13 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

13 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 38.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
538.5%
😁538.5%
👍215.4%
👏17.69%

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 15 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 13reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 27 May 2026 to 13 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

13 Jul 2026, 04:48 UTC45 views2 reactionsread 9 August 2026

蒋介石请了105万个中国人喝蒋介石咖啡,习近平请了106万个中国人喝习近平咖啡,比赛非常激烈,但是由于毛泽东率先给8000万中国人品尝了观音土和两脚羊,所以习近平和蒋介石败给了毛泽东,位居第二第三

2

28 Jun 2026, 15:10 UTC171 views1 reactionsread 9 August 2026

经济下行,恁匪黑皮看门狗也要搞创收

😁1

16 Jun 2026, 16:09 UTC197 views3 reactionsread 9 August 2026

想起阳谋九转大肠了,胖子做屎大肠给评委吃,评委没告诉后面人,导致三个评委全吃到屎。

😁3

16 Jun 2026, 16:09 UTC72 viewsread 9 August 2026
Forwarded from @XueXi_China

绿尸寒鸭腿这个事,反应的不是清北高校做题区的态度。 整个老钟都是这种不过脑子的跟风潮流,一旦什么东西成为口碑,那就和邪教一样,也是为什么中国人这么喜欢《老字号》,即便他是错的,也要维护。 因为如果揭穿他,我的信仰也是虚伪的? 跟风来的爱慕虚荣被发现了? 另外 30年前的北大学生: 一次卖丢提 30年后的北大学生: 姨姨,腿腿,饿饿 😎 匿名投稿

12 Jun 2026, 05:15 UTC58 viewsread 9 August 2026
Forwarded from @crusaderbutchchinkPhoto

《支畜百科》发光种 Glowing ones or luminous necrotic post-humans are ghouls who have absorbed so much radiation that they emit a strong green glow. Glowing ones have become living conduits of radioactivity and emit radiation involuntarily, so they can still be dangerous to normal humans, even after dying. Feral glowing ones are generally stronger than normal feral ghouls. They are radioactive to the point of being able to vo

6 Jun 2026, 04:46 UTC62 viewsread 9 August 2026
Forwarded from @XueXi_ChinaPhoto

习主席即将完成赛博飞升,到时候习主席意识永存于云端,随机通过脑机接口夺舍任何中国人,十四亿中国人就是十四亿习主席的分身。

Showing the 12 most recent of 15 posts we hold for @wulangxinwen. 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

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

“屠支教堂⛪️” (@wulangxinwen), 132 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/wulangxinwen.

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.