Telegram RegisterThe public register of Telegram

Channel

朋友们和张慧

@dinahzhang

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

421subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003154856018
TypeChannel
Username@dinahzhang
CreatedBetween 1 September 2025 and 30 November 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
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/dinahzhang

Growth

4218 Aug 2026, 12:02 — 421 subscribers8 Aug 2026, 20:05 — 421 subscribers8 Aug 2026, 12:028 Aug 2026, 20:05
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 420–422 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 20:05421no change
8 Aug 2026, 12:02421first reading

Engagement

18 posts held, back to 25 July 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
31.7%
avg views ÷ 421 subscribers
Avg views / post
133
18 posts measured
Reaction rate
4.50%
reactions ÷ views · ER floor
Posts in window
18
of 18 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. It is computed over the 8 of 18 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held18 (25 July 20268 August 2026)
Views total2,399
Reactions total54
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:02 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

54 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 59.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3259.3%
😁1222.2%
👏59.26%
😭35.56%
👨‍💻23.70%

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 18 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 54reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 25 July 2026 to 8 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

8 Aug 2026, 03:05 UTC36 viewsread 8 August 2026
Forwarded from @fming_weekly

#share 【对话盛颖:xAI,Infra的浪漫,SGLang,开源,平权与“甄嬛传”【101视频播客】-哔哩哔哩】 https://b23.tv/GjUUOu0

7 Aug 2026, 14:20 UTC33 views2 reactionsread 8 August 2026
Forwarded from @pseudoyulifePhoto

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

2

7 Aug 2026, 09:52 UTC46 viewsread 8 August 2026
Forwarded from @ningxueye

https://mp.weixin.qq.com/s/HIDwasPkQ37msWLrarDB3g 今年(目前为止)读过最好的文章,每次读他的文章都会感到平静。 如果你很久没有读过长文了,不妨试试。 #分享

6 Aug 2026, 13:49 UTC208 views23 reactionsread 8 August 2026

和朋友聊哭了 身心健康最重要 多和同频的人打交道

23

5 Aug 2026, 10:47 UTC138 views9 reactionsread 8 August 2026

周三没在六点下班,我想哭😭😭😭

😁6😭3

3 Aug 2026, 07:49 UTC108 viewsread 8 August 2026
Forwarded from @xuanwo_tweets

https://x.com/xuanwo/status/2084172848470663541?s=46 最近的一些感受

31 Jul 2026, 10:50 UTC152 viewsread 8 August 2026
Forwarded from @fming_weekly

nowledge mem应该被更多人知道 https://x.com/wey_gu/article/2083118261601005612

30 Jul 2026, 12:44 UTC122 views2 reactionsread 8 August 2026
Forwarded from @moelove9020

PyCon China 2026 报名正式启动啦!欢迎大家到现场玩! ps:讲师,赞助商,合作社区,志愿者都在持续招募中,欢迎大家一起加入!! 报名链接:https://www.huodongxing.com/event/6870624098800 官网:https://cn.pycon.org/2026/

👨‍💻2

30 Jul 2026, 05:13 UTC112 viewsread 8 August 2026
Forwarded from @hyi0618Photo

朋友打网约车遇到的,扫码进去发现设计的超级好,一个有趣的灵魂,一段旅程。

29 Jul 2026, 14:56 UTC94 viewsread 8 August 2026
Forwarded from @mmmmmmeowwwww

我从 codex 里单独抽出了 apply-patch cli 工具,配了 SKILL.md 。如果你有自家的 agent,可以试试这个工具在非 gpt 模型上表现如何 https://github.com/BeautyyuYanli/codex-apply-patch

Showing the 12 most recent of 18 posts we hold for @dinahzhang. 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 — 406,769 of 1,340,412entries 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.

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.

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.

“朋友们和张慧” (@dinahzhang), 421 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/dinahzhang.

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.