知乎日报 国外有哪些特别的古代手抄本? Telegraph | 原文链接 | 频道大全

Channel
缤纷世界的彩色冒险
@bunte_Welt
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
7,278subscribers
-229 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001489457235 |
|---|---|
| Type | Channel |
| Username | @bunte_Welt |
| Description | Herzlich willkommen bei der bunte Welt ! | 君と同じ青空 | Lumis Eterne | 春を告げ踊り出す山菜、夏を見る宇治野原唐草乾くわ、秋の月登ったまん丸さお祝い、冬を過ぎまた月日を数える |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/bunte_Welt |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 62% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 18:09 | 7,278 | -10 |
| 8 Nov 2026, 17:00 | 7,288 | -3 |
| 5 Nov 2026, 11:09 | 7,291 | -1 |
| 2 Nov 2026, 13:15 | 7,292 | -3 |
| 30 Oct 2026, 08:06 | 7,295 | -5 |
| 27 Oct 2026, 02:48 | 7,300 | -6 |
| 23 Oct 2026, 18:57 | 7,306 | -15 |
| 20 Oct 2026, 13:40 | 7,321 | -10 |
| 17 Oct 2026, 23:40 | 7,331 | -10 |
| 14 Oct 2026, 15:56 | 7,341 | -12 |
| 11 Oct 2026, 04:01 | 7,353 | -21 |
| 5 Oct 2026, 00:20 | 7,374 | -20 |
| 25 Sept 2026, 20:19 | 7,394 | -26 |
| 17 Sept 2026, 09:37 | 7,420 | -13 |
| 13 Sept 2026, 05:39 | 7,433 | -10 |
| 9 Sept 2026, 05:01 | 7,443 | -14 |
| 3 Sept 2026, 12:40 | 7,457 | -3 |
| 31 Aug 2026, 02:43 | 7,460 | -5 |
| 28 Aug 2026, 02:08 | 7,465 | -8 |
| 24 Aug 2026, 17:17 | 7,473 | first reading |
Engagement
154 posts held, back to 30 July 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 36 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.04%
- avg views ÷ 7,278 subscribers
- Avg views / post
- 221
- 64 posts measured
- Reaction rate
- 0.509%
- reactions ÷ views · ER floor
- Posts in window
- 64
- of 154 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 64 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 154 (30 July 2026 – 12 November 2026) |
| Views total | 14,156 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 00:39 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
- ≈2,010
- Videos
- ≈252
- Links
- ≈5,970
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 23m 19s
- Average length
- 1m 18s
Measured directly from 18 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
27 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 29.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 8 | 29.6% | |
| ❤ | 7 | 25.9% | |
| 🔥 | 4 | 14.8% | |
| 👎 | 3 | 11.1% | |
| ☃ | 2 | 7.41% | |
| 🤯 | 2 | 7.41% | |
| 😢 | 1 | 3.70% |
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 18 of the 154 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 154 most recent posts we hold, published 30 July 2026 to 12 November 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
Telegram’s own ‘edited’ marker: 0 of 64 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
知乎日报 古代没有现代仪器,人们是如何提炼黄金的? Telegraph | 原文链接 | 频道大全
知乎日报 人们在种植蘑菇的时候,孢子会不会在人的躯体上生根发芽? Telegraph | 原文链接 | 频道大全
https://www.youtube.com/watch?v=gu0PHtvlGb8
知乎日报 钻石明明很硬,为什么受到撞击仍容易碎裂? Telegraph | 原文链接 | 频道大全
知乎日报 鸡蛋煮熟后,蛋黄边缘为什么会出现灰绿色? Telegraph | 原文链接 | 频道大全
这是什么车厢谁知道 #火车迷 #铁路 #火车 #中国铁路 #拍火车 原文链接
体操轮转圈平衡:看似简单实则高难 当运动员挑战托盘训练,体操轮上转圈同时平衡托盘,网友:看起来很难实则一点都不简单#体操运动员 #轮式体操 #运动 #体育 #核心 #身体控制力 #挑战 #运动表现力 原文链接
https://www.autobild.de/artikel/xpeng-x9-long-range-fwd-elektro-van-im-test-239b16e-28855869.html
知乎日报 不锈钢明明叫「不锈」,为什么保温杯内壁用久了还是会长锈斑? Telegraph | 原文链接 | 频道大全
https://www.youtube.com/watch?v=UytYrhYLOKI TLDR: 基于飞机在音轨中产生的多普勒效应和时间戳,基于Public flight data进行定位(
「把“学不会”交给代理系统」 learnharness 想解决的不是答题,而是理解。 它把学习拆成测量、规划、讲解、练习四步:先判断你真正懂到哪一层,再从现有理解出发搭建依赖路径,边教边根据你的回答、信心和推理过程调整节奏,最后用独立练习把知识从“看着懂”变成“能想起来、用得上”。 它的特别之处在于不只记录对错,还鼓励你把思路、犹豫和误解说出来,甚至支持语音输入,于是系统拿到的是一张不断更新的“理解地图”,而不只是分数。 项目还做了持续性的知识图谱,把命题、推理链和来源会话串起来,后续教学不必每次从零开始。桌面端能接入 PDF、照片等文件,也支持后台检索、图像标注和交互演示。 产品层面:不开订阅抽成,模型、API Key、数据主要由用户自己掌握,本地保存聊天、图谱和设置,系统提示词可见可改,AGPL-3.0 开源。它的野心其实很明确:不是做一个更会解释的聊天机器人,而是做一个能陪你跨过“真正难点”的学习环境。
Showing the 12 most recent of 154 posts we hold for @bunte_Welt. 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
Republishes
Channels on the register whose posts this channel has forwarded.
@zhihuribao_rss · 16,72932 posts布告栏上的贴纸
@noticeboardthings · 2,49122 posts小红书一瞥
@xhsyp · 31,00717 posts知乎大巴扎
@zhihu_bazaar · 21,88216 posts黑洞资源笔记
@piracy6 · 78,0654 postszrj766的频道
@zrj96 · 17,8534 postsEffer für Wissenschaft
@EFW_inno · 1,6633 posts一个落魄的退休司机
@tuixiusiji1 · 2,4012 posts历史老照片(中文)Timeless Archives
@Discoveryzhongwen · 43,2821 post桔梗书屋
@JGBOOK · 21,9121 post笔记本:Lin's 文字世界 : 个人见闻/B站视频/网络见闻
@LinsBookA · 8,0901 postMarkson 的梦话空间
@MarksonHonSaid · 3281 post喵喵小喵喵
@MeowMiniMeow · 1,4011 post硬件观察 VER3.0 With HOMOLAB
@SUPERNAND · 6,8841 postbupt.moe
@bupt_moe · 5,2861 postFrost's Notes
@fming_weekly · 1,4301 post福利吧fuliba.net
@fulibas · 27,2511 postHacker News 摘要
@hacker_news_zh · 2,4991 post不存在的世界
@illusory_world · 11,1181 postᴊᴜsᴛ ᴀ ᴘᴇᴇᴋ
@justapeek · 3,8251 postJustf News
@justfNew · 1,5761 post科技&趣闻&杂记
@kejiqu · 36,7741 post超级现场🚷意外|车祸|监控
@kxiha · 8,3781 post椒盐豆豉剪报
@mtfront · 4,9421 post國家地理雜誌 中文版
@natgeomedia · 14,8401 post贪玩电动(停售实体版)
@oojbk · 2,2121 post普拉姆的胡言乱语
@plumzme · 8381 post南宫雪珊
@vvb2060_Channel · 4,1341 postMJJ出征
@wearemjj · 9,7351 post折腾啥
@zhetengsha · 54,1211 post
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.
@rssmenu · 1,83933 posts历史老照片(中文)Timeless Archives
@Discoveryzhongwen · 43,2821 post科技&趣闻&杂记
@kejiqu · 36,7741 post乐趣频道 投稿&搜索
@kejiqubot · 15,1461 post科技&趣闻
@kejiquchat · 4,4611 post在花🎗️科技圈
@zaihuapd · 290,1421 post在花小茶馆🍵
@zaihuaSpace · 7,4691 post折腾啥
@zhetengsha · 54,1211 post折腾啥
@zhetengsha_group · 22,8221 post
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“缤纷世界的彩色冒险” (@bunte_Welt), 7,278 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/bunte_Welt.
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.