Telegram RegisterThe public register of Telegram

Channel

Yu’s Life

@pseudoyulife

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

2,587subscribers

+32 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001792768321
TypeChannel
Username@pseudoyulife
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/pseudoyulife

Growth

2,5552,5872,5717 August 2026 — 2,555 subscribers7 August 2026 — 2,555 subscribers7 August 2026 — 2,569 subscribers11 August 2026 — 2,582 subscribers14 August 2026 — 2,587 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +32. 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 2,550–2,592 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 04:572,587+5
11 Aug 2026, 01:322,582+13
7 Aug 2026, 22:212,569+14
7 Aug 2026, 15:012,555no change
7 Aug 2026, 14:562,555first reading

Engagement

15 posts held, back to 25 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.

ERR · 30 days
11.0%
avg views ÷ 2,587 subscribers
Avg views / post
284
2 posts measured
Reaction rate
4.75%
reactions ÷ views · ER floor
Posts in window
2
of 15 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 7 August 2026
Posts held15 (25 May 20267 August 2026)
Views total568
Reactions total27
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 15:01 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.

Reaction mix

181 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 27.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4927.1%
👏2815.5%
🔥2413.3%
😱2212.2%
🥰2111.6%
🐳179.39%
🤣137.18%
👍63.31%
😁10.552%

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 13 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 181reactions 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 25 May 2026 to 7 August 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

7 Aug 2026, 14:12 UTC362 views15 reactionsread 7 August 2026
Photo

最近在「壹个村小」成都夏令营做了几周义工,跟创始人聊了很多。 他 06 年本科计算机毕业,做了三个月开发后发现并不是心之所向,去云南支教,后来和同行的小伙伴一起创立了这个公益助学组织,到现在做了接近 20 年。 组织的官网是他 2008 年用 Adobe Dreamweaver 做的,用的 ASP 和 Microsoft Access,到现在几乎不可维护,于是在义工期间我回归自己的本行,花了一周多使用 Next.js + Postgres 完全重构了整个网站页面、DB 数据结构和所有的后端逻辑,在这周一正式上线了。 创始人跟我说,他们的大量时间花在了捐助人和学生之间的信息传达和沟通上,现在每年新增学生大概七八百,同时在管理的学生两三千,有这样一个更好的系统省下的时间,或许能让他们跟更多的学校和学生去家访沟通,每年或许能有更多的容量帮助到更多的学生,哪怕只是几十个。 在 AI Coding 的时代,时常觉得代码已经毫无价值

12👍2🔥1

Signed pseudoyu

7 Aug 2026, 12:38 UTC206 views12 reactionsread 7 August 2026
Photo

#life 去 Randy 家作客,厨艺大比拼! https://x.com/randyloop/status/2085698303795376583

10👍1😁1

Signed pseudoyu

21 Jun 2026, 10:55 UTC≈1,640 views4 reactionsread 7 August 2026
Photo

📺 看过比宇宙更遥远的地方 #douban #watched 评分: ★★★★★ 备注: 想去看看更远的世界了 https://movie.douban.com/subject/27080661/

3🐳1

Signed Yu’s Life

13 Jun 2026, 02:23 UTC≈1,860 views6 reactionsread 7 August 2026
Photo

今天解决 bug 的时候等不及重置,忍不住按量计费又用了几百刀,还是官方禁用才止住,太上瘾了 🤡 https://x.com/anthropicai/status/2065597531644743999

🤣6

Signed pseudoyu

12 Jun 2026, 05:07 UTC≈1,690 views7 reactionsread 7 August 2026
Photo

用了两天 fable 5,体感很好,把 20x Plan 周用量刷完了,等值花了 3000 多刀,6/22 后肯定是用不起了,我这个用法简直是在赚 A 社钱 🤣

🤣7

Signed pseudoyu

8 Jun 2026, 08:27 UTC≈1,480 viewsread 7 August 2026
Photo

📖 最近在读横断浪途 #douban #reading https://book.douban.com/subject/36467301/

Signed pseudoyu

8 Jun 2026, 08:25 UTC≈1,240 views2 reactionsread 7 August 2026
Photo

📖 最近读过我是寨子里长大的女孩 #douban #reading 评分: ★★★★☆ 还是有不少地方引起了共鸣,记起了很多幼时的事,看完后也有一种想要记录自己童年和人生的欲望 https://book.douban.com/subject/37399110/

👍2

Signed pseudoyu

8 Jun 2026, 08:20 UTC≈1,070 views5 reactionsread 7 August 2026
Photo

📺 看过给阿嬷的情书 #douban #watched 评分: ★★★★★ 备注: 少有的去电影院看的电影,很催泪,信件这种形式以及文字真美好,整体叙事跟另一部很喜欢的韩剧《苦尽柑来遇见你》有些相似 https://movie.douban.com/subject/37116446/

🥰5

Signed Yu’s Life

6 Jun 2026, 17:00 UTC≈1,110 views15 reactionsread 7 August 2026

📝 29 岁的自白:不必「三十而立」 #blog https://www.pseudoyu.com/posts/yearly_review_29

15

Signed Yu’s Life

6 Jun 2026, 14:31 UTC≈1,610 views34 reactionsread 7 August 2026
Photo

#life 学姐带我去一家很有意思的餐厅过生日。 带妆发用餐,解锁了《明朝恋爱脑锦衣卫爱上唐朝公主》的神奇组合,很特别的体验。 一道菜配一个节目,大多是唐代舞蹈,学姐:“你生日我带你看小姐姐跳舞,我生日是不是该带我看男模了”。😶‍🌫️ 到家了,开始肝生日总结,也祝 29 岁的自己,快乐。

🔥215🐳4🥰4

Signed pseudoyu

31 May 2026, 02:33 UTC≈1,630 views52 reactionsread 7 August 2026
Photo

学姐超强!

👏27😱22🔥2👍1

Signed pseudoyu

30 May 2026, 09:21 UTC≈1,570 views12 reactionsread 7 August 2026
Photo

送学姐参加明天的2026 千岛湖公开水域游泳公开赛 😶‍🌫️ 看起来确实比钱塘江干净多了

🐳12

Signed pseudoyu

Showing the 12 most recent of 15 posts we hold for @pseudoyulife. 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 — 151,688 of 1,336,469entries 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Yu’s Life” (@pseudoyulife), 2,587 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/pseudoyulife.

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.