知乎日报 有哪些近代解开了的历史谜团或疑案? 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
7,291subscribers
-216 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 | 5 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 5 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 |
|---|---|---|
| 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 | -11 |
| 20 Aug 2026, 17:13 | 7,484 | -2 |
| 17 Aug 2026, 11:03 | 7,486 | first reading |
Engagement
120 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 24 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.38%
- avg views ÷ 7,291 subscribers
- Avg views / post
- 319
- 30 posts measured
- Reaction rate
- 0.36%
- reactions ÷ views · ER floor
- Posts in window
- 30
- of 120 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 5 of 30 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 120 (30 July 2026 – 6 November 2026) |
| Views total | 9,583 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 12:49 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
- ≈1,980
- Videos
- ≈244
- Links
- ≈5,940
Lifetime counters from Telegram’s own channel header, read 6 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
- 17m 49s
- Average length
- 1m 47s
Measured directly from 10 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
21 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 28.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6 | 28.6% | |
| ❤ | 5 | 23.8% | |
| 🔥 | 4 | 19.0% | |
| 👎 | 3 | 14.3% | |
| ☃ | 2 | 9.52% | |
| 😢 | 1 | 4.76% |
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 15 of the 120 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 120 most recent posts we hold, published 30 July 2026 to 6 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 30 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).
breakfast 这个词为什么这么构成? | 原文
为什么大模型还没有大面积应用到因子挖掘? | 原文
你知道的最冷最冷的冷知识是啥? | 原文
https://vxtwitter.com/nocontextscats/status/2118000082738172278
❤1
Posted without readable text
👍2
知乎日报 美洲原住民(印第安人)也是黄皮肤、黑头发、黑眼睛,其祖先是不是来自中国? Telegraph | 原文链接 | 频道大全
知乎日报 我们永远无法知道死后是怎样的世界吗? Telegraph | 原文链接 | 频道大全
知乎日报 为什么狗的嗅觉这么灵敏却不怕臭? Telegraph | 原文链接 | 频道大全
转载一下朋友的视频,挺好的小众题材 https://www.bilibili.com/video/BV1FVxQ6yEDF/? 其实这种二手企业级吊打全新零售的诡异行业还有很多:包括但不限于耳机(二手监听R70X/7506/9500/DT900X吊打几乎所有的零售头戴)、PC商用机(Lenovo的P3以及HP的Z4系列),还有非常神人的厨房工具(包括菜刀、铁锅以及水浴加热棒) 这些东西兼顾了保有量巨大、价格奇低、非常耐用、性能优秀,并且由于其过于强悍的用料和极简的设计,可用年限甚至高到你看腻了都还好好的.毕竟营销出来的参数和噱头对企业来说屁用没有,TCO与生命周期创造的价值才是最主要的😋
AI让赛博朋克2077夜之城彻底脱离死城,与夜之城每个人交互,他们每个人都可以有自己的生活。 这个mod已经趋近完善,现在聊天速度快,可以通过局域网互联把omni语音模型放在第二台电脑或者第二张显卡运行,然后通过自定义端点连接deepseek的api就可以实现与路人畅聊,还不增加一点显存,而且作者贴心为大部分人做了背景设定,还有音色模型堪称逆天。不会安装的话可以直接把页面的说明喂给豆包或者dsh mod下载地址:https://www.nexusmods.com/cyberpunk2077/mods/35436 另外视频中人群自动发声是安装了这个mod:https://www.nexusmods.com/cyberpunk2077/mods/36527?tab=description 大街上的人群可以自主聊天了,不在沉默。 天空中雷雨是用了这个mod:https://www.nexusmods.com/cyberpunk207…
AI 时代,还有人在用黏土一帧帧讲故事 《小羊肖恩 3》零宣发,八年手工打磨十万多帧黏土动画。没有营销,全靠观众自发安利,泥巴里藏着满满的诚意。#定格动画 #小羊肖恩3 ▎Source
Showing the 12 most recent of 120 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 · 16,73525 posts布告栏上的贴纸
@noticeboardthings · 2,48919 posts知乎大巴扎
@zhihu_bazaar · 21,94316 posts小红书一瞥
@xhsyp · 31,02810 postszrj766的频道
@zrj96 · 17,7873 postsEffer für Wissenschaft
@EFW_inno · 1,6632 posts一个落魄的退休司机
@tuixiusiji1 · 2,3982 posts历史老照片(中文)Timeless Archives
@Discoveryzhongwen · 43,1571 post笔记本:Lin's 文字世界 : 个人见闻/B站视频/网络见闻
@LinsBookA · 8,0801 postMarkson 的梦话空间
@MarksonHonSaid · 3281 post喵喵小喵喵
@MeowMiniMeow · 1,4021 post硬件观察 VER3.0 With HOMOLAB
@SUPERNAND · 6,8301 postFrost's Notes
@fming_weekly · 1,4261 postHacker News 摘要
@hacker_news_zh · 2,4981 post不存在的世界
@illusory_world · 11,1101 postJustf News
@justfNew · 1,5871 post科技&趣闻&杂记
@kejiqu · 36,7551 post椒盐豆豉剪报
@mtfront · 4,9521 post贪玩电动(停售实体版)
@oojbk · 2,2111 post普拉姆的胡言乱语
@plumzme · 7621 post南宫雪珊
@vvb2060_Channel · 3,9431 postMJJ出征
@wearemjj · 9,7311 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.
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 5 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), 7,291 subscribers as measured 5 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.