在线美股编年史 via 潮流周刊第 277 期 整合了诸多美股指数整个世纪 view 的实时数据互动图表和分析。网站排版做得很精美。 #money #data #visual #newsletter

Channel
椒盐豆豉剪报
@mtfront
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
4,960subscribers
+106 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001327874799 |
|---|---|
| Type | Channel |
| Username | @mtfront |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/mtfront |
Topic
Technology — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 00:21 | 4,960 | +22 |
| 14 Sept 2026, 11:59 | 4,938 | +3 |
| 11 Sept 2026, 05:58 | 4,935 | +21 |
| 2 Sept 2026, 02:04 | 4,914 | +10 |
| 29 Aug 2026, 20:48 | 4,904 | +9 |
| 24 Aug 2026, 00:46 | 4,895 | +14 |
| 20 Aug 2026, 05:14 | 4,881 | +7 |
| 16 Aug 2026, 18:58 | 4,874 | +5 |
| 12 Aug 2026, 23:26 | 4,869 | +5 |
| 9 Aug 2026, 23:34 | 4,864 | +11 |
| 7 Aug 2026, 06:40 | 4,853 | -1 |
| 6 Aug 2026, 23:02 | 4,854 | first reading |
Engagement
19 posts held, back to 1 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 8 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 9 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
139 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 34.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 48 | 34.5% | |
| ❤ | 47 | 33.8% | |
| 🤣 | 20 | 14.4% | |
| 🥱 | 7 | 5.04% | |
| 👏 | 5 | 3.60% | |
| 🤯 | 5 | 3.60% | |
| 🔥 | 3 | 2.16% | |
| 🤬 | 2 | 1.44% | |
| 💅 | 1 | 0.719% | |
| 🥴 | 1 | 0.719% |
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 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 139 reactions 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 1 July 2026 to 9 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
加州政府新出的可以集中删除你网上个人信息的平台 Delete Request and Opt-out Platform(DROP) https://privacy.ca.gov/drop/ 不得不说人家加州还是先进啊,半个美国小 EU 了() #tool
❤4
群友发的这个理财科普视频真是寓教于乐啊🤣🤣🤣博主应该是真讨厌宝马,损得渣都不剩了hhhh #youtube #fun #money
🤣8❤3🥱1🥴1
象上看到的查看世界上任何一个地方全年天气和历史数据工具 #tool #长毛象
❤3
关我辟事 Vol.55:晒后中夏 本月摘要: - Road trip 顺利收尾 - 应该真的是我这波运动装备消费主义的尾声了……吧…… - 附近小公园的散步跑步 - 大概寻找到了最爱的夏日短裤,今年夏天短裤利用率真的好高 - 记性不好的好处大概是十几年后的重置游戏可以当新游戏玩 - 我怎么一下看了这么多烂真人秀…… #blog #关我辟事
听 Apple in China 出乎意料地听到一个移民/社畜/草台伤痕文学: 当年苹果雇的 iPod 第一个 electric engineer 是个英国人,接 offer 的时候: 苹果:来不及解释了快上车。 人:我过两天要去参加一个婚礼而且 h1b 要办一段时间过阵子再入职。 苹果:乔布斯四周之后要发布了但我们现在还没有样机你赶紧来入职,婚礼想都不要不想,你先过来上班晚点我们 figure out 签证的事。 人:行,行吧…… 苹果:哦对了给你买了明早的机票。 人:……? 不是,您们样机都没影子才招到第一个电工就敢让 CEO 四周之后发布吗,世界果然是个巨大的草台班子,tech industry fake it until make it 果然也由来已久( #reading #fun #Apple #tech
👍18❤2
世界上最女性友好的国家 包含了公正性、安全和包容性等 13 个维度考量。 (当然,如果有厌女 incel 们想反向使用作为移民参考也不是不行 lol 阿富汗也门叙利亚欢迎您👏) #SheHer #data #visual #society
👍14🤣10🥱6🤬2💅1
#TIL there's a thing called fighting kite...放风筝怎么还有 PVP #reddit #fun
随机打开一个世界上别的角落的窗户 via 潮流周刊第 275 期 #fun #tool #newsletter
❤3
我拥有过多的东西 作为一个消费主义博主 + 三分钟热度博主,我的购物欲似乎真的是一阵一阵的。没错,这句话刚在几天前的夏季装备更新里写过一遍,没想到这么快又用上了…… 今天来写写近年来哪些东西我买了太多(请勿模仿)。 本文是我 2026 年 7 月的博客选题。加入 patreon 可以跟其它赞助者一起选出下个月你想看的博客文章,并且支持本博客的持续创作。下期选题已经发布欢迎金主点击投票: - 5-9 after 9-5(下班后的生活) - 越野跑鞋 vs 登山靴的选择 - 我的居家健身 routine 2026 #blog #patreon #消费主义陷阱
👏5👍1
世界各国的房价/年收入比 #data #visual #society #money
👍8
远程工作的利与弊 和很多人一样,我的远程工作是从 2020 年开始的,自那之后上过班的三家公司都是远程办公。我刚好今年快工作 12 年了,这样算来我的职业生涯一半是要去办公室(pre-covid 一般大家也是每周 WFH 一次,哪像现在某些公司竟然要求 5 天 RTO),一半是纯远程。先来说说优缺点(每个部分中按对我来说重要性递减排序),最后再回答这个“值多少钱”的问题。 本文是我 2026 年 6 月的博客选题。上个月开了个头就出差 + road trip 去了导致一直没写完拖了一个月这才写好。加入 patreon 可以跟其它赞助者一起选出下个月你想看的博客文章,并且支持本博客的持续创作。下期选题已经发布欢迎金主点击投票: - 我拥有过多的东西 - 我的摄影编年史 - 我个人反生育的原因 #blog #career #patreon
❤3👍3
Showing the 12 most recent of 19 posts we hold for @mtfront. 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
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@MothLib · 34,658
Telegram ranks this channel #4 of 50 here — alongside 49 others — read 3 September 2026
@OutsightChina · 41,309
Telegram ranks this channel #15 of 58 here — alongside 57 others — read 29 August 2026
@cdtchinesefeed · 44,158
Telegram ranks this channel #15 of 60 here — alongside 59 others — read 29 August 2026
@weekly_books · 38,219
Telegram ranks this channel #18 of 59 here — alongside 58 others — read 31 August 2026
@iyouport · 27,814
Telegram ranks this channel #22 of 55 here — alongside 54 others — read 10 September 2026
@sspai · 38,286
Telegram ranks this channel #22 of 58 here — alongside 57 others — read 31 August 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“椒盐豆豉剪报” (@mtfront), 4,960 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/mtfront.
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.