美国8月芝加哥PMI骤降至47.1,明显低于预期58.0和前值57.6,四个月来首次跌破荣枯线。新订单、积压订单和生产走弱,显示区域企业活动明显降温。

Channel
加美财经causmoney
@causmoney
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
8,639subscribers
+246 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 | -1001725573417 |
|---|---|
| Type | Channel |
| Username | @causmoney |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/causmoney |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 04:57 | 8,639 | +26 |
| 1 Sept 2026, 01:17 | 8,613 | +36 |
| 28 Aug 2026, 17:04 | 8,577 | +33 |
| 25 Aug 2026, 23:15 | 8,544 | +21 |
| 23 Aug 2026, 04:08 | 8,523 | +41 |
| 20 Aug 2026, 01:37 | 8,482 | +12 |
| 17 Aug 2026, 11:58 | 8,470 | +23 |
| 13 Aug 2026, 23:48 | 8,447 | +24 |
| 11 Aug 2026, 01:45 | 8,423 | +27 |
| 7 Aug 2026, 16:28 | 8,396 | +3 |
| 6 Aug 2026, 22:02 | 8,393 | first reading |
Engagement
324 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 26 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.56%
- avg views ÷ 8,639 subscribers
- Avg views / post
- 308
- 286 posts measured
- Reaction rate
- 1.18%
- reactions ÷ views · ER floor
- Posts in window
- 287
- of 324 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 181 of 286 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 324 (6 August 2026 – 28 August 2026) |
| Views total | 88,006 |
| Reactions total | 735 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 17:06 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
- Video runtime
- 1h 05m
- Average length
- 35s
Measured directly from 112 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
866 reactions across 199 posts, in 39 distinct kinds. The most used accounts for 28.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 245 | 28.3% | |
| ❤ | 98 | 11.3% | |
| 👍 | 95 | 11.0% | |
| 🤣 | 83 | 9.58% | |
| 🤮 | 71 | 8.20% | |
| 👏 | 55 | 6.35% | |
| 😁 | 49 | 5.66% | |
| 💊 | 24 | 2.77% | |
| 🤬 | 24 | 2.77% | |
| 💩 | 17 | 1.96% | |
| 🤔 | 14 | 1.62% | |
| 👎 | 10 | 1.15% | |
| 😱 | 9 | 1.04% | |
| 😡 | 8 | 0.924% | |
| 🖕 | 7 | 0.808% | |
| 🥰 | 7 | 0.808% | |
| 🤪 | 6 | 0.693% | |
| 💔 | 5 | 0.577% | |
| 🤷♀ | 5 | 0.577% | |
| 🎉 | 4 | 0.462% | |
| 19 further kinds | 30 | 3.46% |
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 208 of the 324 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 866 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 324 most recent posts we hold, published 6 August 2026 to 28 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 323 we hold a reading for · 0.3%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @causmoney. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 324 most recent posts we hold for this entry, published 6 August 2026 to 28 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
密歇根大学8月28日公布,消费者一年期通胀预期终值降至4.0%,低于预期4.3%和前月4.2%;长期预期维持3.3%。短期价格担忧有所缓和,但预期仍高于此前正常水平。
美墨贸易争端出现“奶酪之争”,美国反对墨西哥扩大欧洲原产地名称保护 美国与墨西哥的贸易摩擦出现一个新的争议焦点:奶酪。据相关报道,美国政府已向墨西哥提出至少15项所谓非关税贸易壁垒,其中包括墨西哥与欧盟新贸易协议中对欧洲食品原产地名称的扩大保护。 根据协议,墨西哥将保护数百种与欧洲特定地区相关的产品名称,包括帕尔马干酪、菲达奶酪和曼彻格奶酪等。这意味着美国生产商今后向墨西哥出口类似产品时,可能不能继续直接使用这些名称,而需要改用“仿菲达奶酪”或“阿夏戈风味奶酪”等标签。 美国一直主张,帕尔马干酪、菲达奶酪等已经成为奶酪的“通用名称”,不应由欧洲生产商独占。美国奶酪业认为,强制更改名称会让消费者误以为美国奶酪是不同或较低等级的产品,从而影响销售。 欧盟则认为,这些名称与特定产区和传统制作方式直接相关。例如,真正的帕尔马干酪应来自意大利规定产区,菲达奶酪也受到欧盟原产地制度保护。如果其他国家生产的奶酪使用相同名称,不仅无法保…
美国共和党联邦众议员里奇·麦考密克在福克斯电视台为特朗普把安大略湖改成美国湖一事辩护,声称这是特朗普的一种交易技巧。 福克斯主持人: 很显然,总统这么做也是一种谈判策略,相当于是在告诉加拿大人:“听着,够了,我们已经受够了。” 按照特朗普政府的说法,加拿大占美国的便宜已经太久了,所谓的自由贸易实际上并不公平。 至少,这是特朗普政府的看法。 麦考密克: 我认为,从某种程度上说,这是两个不同的问题,但它们之间确实存在联系。 特朗普总统非常善于利用各种手段为自己增加谈判筹码。 有时候,他会故意做一些让谈判对手感到恼火、甚至不舒服的事情,以此施加压力,争取达成对美国更有利的协议。 我们之前已经看到,他推动把“墨西哥湾”改称“美国湾”,所以这种做法并不是第一次。 但归根结底,真正重要的问题还是贸易。 我们确实需要更加公平的贸易关系。
🤡5👎1🤮1
中国大陆重塑商品房销售制度,房地产开发资金链将迎来重大调整 对房地产行业而言,这可能带来一次明显洗牌。资金实力较强的大型房企更容易承受从拿地、施工到竣工之间较长的资金占用周期,而高度依赖预售回款和快速周转的中小开发商将面临更大压力。 过去依靠“卖期房、回笼资金、继续拿地”的高杠杆经营模式,生存空间将明显缩小。 👉 阅读全文: https://www.caus.com/all-articles/news/430128/
丰田全球销量连续第六个月下降,中国市场跌约24%。 丰田今天公布7月销售数据,集团全球销量包括大发在内同比下降5.3%至约91.3万辆;丰田和雷克萨斯在中国销量同比下降约24%,中国已成为拖累集团业绩最明显的市场之一。相比之下,日本国内销量增长,混合动力车在欧美仍表现较强。中国新能源车竞争正在持续挤压日本车企的市场份额。(日本时报)
金融时报:贝森特要对伊朗进行经济战争,就应该听听当年奥巴马关于中国的讲话 最近几个月,特朗普多次猛烈抨击奥巴马当年的伊朗协议。但颇具讽刺意味的是,美国财政部长贝森特现在面对的,正是奥巴马当年指出的这个战略陷阱,而这也折射出当今新世界秩序的本质。 斯坦福大学、耶鲁大学和哥伦比亚大学的经济学家在国际货币基金组织(IMF)发表的一篇文章中指出,要理解今天的地缘政治,关键是认识到,美国和中国都希望运用自己的霸权力量,也就是迫使其他国家服从。 中国拥有这种霸权力量,是因为中国控制着稀土矿产、制药原料等关键工业供应链节点。美国的优势则来自以美元为核心的全球金融体系。 👉 阅读全文: https://www.caus.com/all-articles/news/430126/
沃什在全球央行会议上释放加息信号:通胀改善仍不够,称美国金融环境“难言紧缩” 从政策含义来看,沃什这次并没有向市场宣布“9月加息”,但已经明显缩小了继续按兵不动需要满足的条件。接下来如果8月就业、消费者价格和个人消费支出通胀数据显示价格压力没有进一步减弱,尤其是基础通胀继续维持在明显高于2%的水平,那么9月加息将重新成为现实选项。 更重要的是,沃什已经首次比较清楚地解释了自己目前的政策判断:美国经济并不弱,就业没有明显恶化,金融条件也没有真正收紧,而通胀下降速度仍然不足。在这样的组合下,美联储继续等待的理由正在减少,而不是增加。 👉 阅读全文: https://www.caus.com/all-articles/news/430123/
👍1
华尔街日报:那些向特朗普大笔供款的CEO们,现在开始担心传票 一些曾为特朗普标志性项目捐出巨款的科技企业,已经开始为国会调查,甚至刑事调查做准备。 华盛顿的律师和游说人士说,客户如今都在问同一个问题:我们有哪些地方容易受到攻击? 据知情人士透露,在中期选举到来前,包括 Meta Platforms 在内的一些企业正在向民主党大笔捐款,以平衡此前向白宫宴会厅项目和共和党相关活动提供的数千万美元资金。 👉 阅读全文: https://www.caus.com/all-articles/news/430120/
🤣2
罗森伯格表示,现在更关键的问题是沃什会站在哪一边。近期联邦公开市场委员会内部鹰派声音有所增强,部分此前立场偏鸽的官员也开始转向更谨慎的政策立场。市场将判断沃什究竟会更接近这些政策鹰派,还是更倾向于白宫希望看到的方向。 CIFC资产管理公司董事总经理娜塔莉娅·洛耶夫斯基表示,投资者目前几乎没有足够历史经验来判断沃什的讲话方式。 新任美联储主席往往会利用杰克逊霍尔为任期确立政策框架,而沃什周五采用的措辞,很可能在未来一年被市场反复用于解读每一项经济数据。 个股方面,人工智能相关公司的高估值继续提高市场对业绩的要求。迈威尔科技虽然上调业绩指引,并实现营收和利润增长,但本季度非公认会计准则毛利率指引仍未达到华尔街预期,股价下跌约7%。这再次表明,投资者对人工智能相关半导体公司的业绩容错空间已经非常有限。 Gap股价则大涨约20%。尽管公司季度业绩喜忧参半,但公司宣布为经营困难的Old Navy品牌任命新任首席执行官,提振投资者情…
美股周五小幅高开,市场静待沃什杰克逊霍尔首秀 美股周五开盘后整体波动不大,投资者把注意力集中在美联储主席凯文·沃什即将在杰克逊霍尔发表的首次主题演讲,同时消化最新企业财报。 截至最新交易,道琼斯工业平均指数报53,673.71点,,涨幅0.19%;标普500指数报7,737.80点,涨幅0.09%;纳斯达克综合指数报26,535.54点,跌幅0.02%。 债券市场同样处于观望状态。美国2年期国债收益率报4.242%,10年期国债收益率报4.679%。美元整体变化不大。油价继续回落,布伦特原油期货跌至每桶88美元以下。 沃什将在美东时间上午10点出席堪萨斯城联邦储备银行年度经济政策研讨会,并发表出任美联储主席以来首次杰克逊霍尔主题演讲。 虽然这并非正式货币政策会议,但市场普遍认为,这场讲话可能决定短期利率预期和美国国债收益率的下一步方向。 投资者尤其关注沃什会如何描述通胀、就业和利率前景。与多位前任相比,沃什上任后公开…
Posted without readable text
Showing the 12 most recent of 324 posts we hold for @causmoney. 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.
Posts edited after publishing
@causmoney edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 12 August 2026
- Most recent edit
- 12 August 2026
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.
Mentions
Named by 1 registered channel — 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.
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.
@OutsightChina · 41,194
Telegram ranks this channel #19 of 58 here — alongside 57 others — read 29 August 2026
@FinanceNewsDaily · 54,648
Telegram ranks this channel #20 of 60 here — alongside 59 others — read 24 August 2026
@pelosi3 · 70,597
Telegram ranks this channel #24 of 51 here — alongside 50 others — read 20 August 2026
@cdtchinesefeed · 41,897
Telegram ranks this channel #51 of 60 here — alongside 59 others — read 29 August 2026
This channel appears in 4 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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“加美财经causmoney” (@causmoney), 8,639 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/causmoney.
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.