https://telegra.ph/动物园里的北极熊突然变绿为什么怎么洗都洗不掉-08-07 原文:https://zhuanlan.zhihu.com/p/2068015594323154630

Channel
布告栏上的贴纸
@noticeboardthings
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,324subscribers
+7 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 | -1001993094904 |
|---|---|
| Type | Channel |
| Username | @noticeboardthings |
| Created | Between 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/noticeboardthings |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 09:34 | 2,324 | +7 |
| 10 Aug 2026, 09:05 | 2,317 | -2 |
| 7 Aug 2026, 14:22 | 2,319 | +2 |
| 7 Aug 2026, 09:02 | 2,317 | first reading |
Engagement
19 posts held, back to 6 August 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.
- ERR · 30 days
- 5.90%
- avg views ÷ 2,324 subscribers
- Avg views / post
- 137
- 19 posts measured
- Reaction rate
- 1.73%
- reactions ÷ views · ER floor
- Posts in window
- 19
- 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. It is computed over the 7 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 19 (6 August 2026 – 7 August 2026) |
| Views total | 2,606 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:40 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
18 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 8 | 44.4% | |
| ❤ | 3 | 16.7% | |
| 🙈 | 2 | 11.1% | |
| 🥰 | 2 | 11.1% | |
| 🥱 | 2 | 11.1% | |
| 🤣 | 1 | 5.56% |
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 7 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 18reactions 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 6 August 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
https://telegra.ph/如果三峡大坝倒塌会有多严重-08-07 原文:https://www.zhihu.com/question/2053269364691018654/answer/2068075715942159407
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…
❤1
https://telegra.ph/寿司郎财报显示一家中国大陆门店营收是日本店的-16-倍利润接近三倍为何该商业模式能在中国成功-08-07-3 原文:https://www.zhihu.com/question/2065453278121431256/answer/2069031345561527138
有什么历史冷知识或者小趣事吗? (https://telegra.ph/有什么历史冷知识或者小趣事吗-08-07) | 原文 (https://www.zhihu.com/question/12865973348/answer/2067397427900985635)
https://telegra.ph/计划经济可以计划出-CUDA-吗-08-07 访谈链接:https://ethw.org/Oral-History:Vladimir_Fridkin
https://telegra.ph/为什么今年会出现高大衔接班现象-08-07
https://telegra.ph/网友吐槽现在的交响乐团只能靠游戏演奏会维持生计对此你怎么看-08-07
❤2
https://telegra.ph/少年捐赠日军罪证遭死亡威胁七成-IP-来自境内这反映了哪些深层次的社会问题-08-07
👍2
https://telegra.ph/你见过最高效的人是怎么工作或生活的-08-07
https://telegra.ph/连裤袜是裤子还是袜子-08-07
https://telegra.ph/十八线小县城的经济靠什么支撑-08-07
Showing the 12 most recent of 19 posts we hold for @noticeboardthings. 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 — 184,267 of 1,183,361entries 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 2 registered channels — 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“布告栏上的贴纸” (@noticeboardthings), 2,324 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/noticeboardthings.
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.