加拿大增加10万个永久居民名额,香港移民积压申请也将加快处理 #加拿大 加拿大联邦政府11月12日宣布,将在2027年向各省和地区提供额外移民名额,帮助最多10万名已经在加拿大生活的工人及家属取得永久居民身份。政府同时计划加快处理香港居民专属移民通道的积压申请,预计涉及最多3.2万人。 加拿大移民、难民及公民部长迪亚布当天在新不伦瑞克省迪耶普公布了这项政策的实施安排。 根据移民部公告,各省和地区将获得额外的省提名计划(PNP)名额,可以根据当地劳动力市场需求,自行决定使用多少名额,以及优先提名哪些已经在当地工作和定居的外国工人。 这些新增名额计划在2027年3月31日前使用,以支持符合条件的工人及家属在2027年取得永久居民身份。 政策还允许省级和地区政府识别部分已经递交永久居民申请、但仍在等待审批的工人,包括通过大西洋移民计划,以及部分已经停止接受新申请的联邦移民项目递交申请的人士。 涉及的项目包括创业签证计划…

Channel
加美财经causmoney
@causmoney
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
9,099subscribers
+706 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 |
| Description | 加美财经是中文小众政经商业媒体,重点关注财富、科技、创业、人文、科学等领域,为全球华人提供来自主流媒体的报道和分析,适合愿意拓展全球视野的华语用户。 深度内容全文请见 www.caus.com 请关注加美财经蓝天号: https://bsky.app/profile/causmoney.bsky.social 加美财经官方推特: @CausMoney whatsapp用户请关注: https://whatsapp.com/channel/0029Vb8N9p3EVccOLHfyO23l |
| 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 | 9 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 9 November 2026 |
| On Telegram | t.me/causmoney |
Topic
National news — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 41% 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 |
|---|---|---|
| 9 Nov 2026, 06:36 | 9,099 | +30 |
| 6 Nov 2026, 05:18 | 9,069 | +56 |
| 2 Nov 2026, 20:55 | 9,013 | +18 |
| 30 Oct 2026, 23:40 | 8,995 | +31 |
| 28 Oct 2026, 04:36 | 8,964 | +14 |
| 25 Oct 2026, 01:17 | 8,950 | +29 |
| 21 Oct 2026, 22:15 | 8,921 | +16 |
| 18 Oct 2026, 06:45 | 8,905 | +13 |
| 15 Oct 2026, 00:57 | 8,892 | +35 |
| 12 Oct 2026, 04:37 | 8,857 | +37 |
| 5 Oct 2026, 17:18 | 8,820 | +60 |
| 27 Sept 2026, 17:39 | 8,760 | +49 |
| 18 Sept 2026, 06:59 | 8,711 | +26 |
| 14 Sept 2026, 06:39 | 8,685 | +27 |
| 10 Sept 2026, 15:16 | 8,658 | +19 |
| 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 | first reading |
Engagement
690 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 46 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.07%
- avg views ÷ 9,099 subscribers
- Avg views / post
- 189
- 366 posts measured
- Reaction rate
- 1.45%
- reactions ÷ views · ER floor
- Posts in window
- 366
- of 690 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 206 of 366 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 690 (6 August 2026 – 13 November 2026) |
| Views total | 69,059 |
| Reactions total | 599 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 00:19 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
- ≈14,600
- Videos
- ≈4,800
- Links
- ≈18,000
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
- 2h 52m
- Average length
- 42s
Measured directly from 247 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
1,465 reactions across 395 posts, in 45 distinct kinds. The most used accounts for 25.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 368 | 25.1% | |
| 👍 | 274 | 18.7% | |
| ❤ | 157 | 10.7% | |
| 🤣 | 126 | 8.60% | |
| 👏 | 104 | 7.10% | |
| 🤮 | 103 | 7.03% | |
| 😁 | 69 | 4.71% | |
| 🤬 | 32 | 2.18% | |
| 💩 | 29 | 1.98% | |
| 💊 | 27 | 1.84% | |
| 👎 | 20 | 1.37% | |
| 🤔 | 18 | 1.23% | |
| 🥰 | 14 | 0.956% | |
| 😱 | 13 | 0.887% | |
| 🖕 | 11 | 0.751% | |
| 🤪 | 9 | 0.614% | |
| 😡 | 8 | 0.546% | |
| 🤯 | 7 | 0.478% | |
| 👌 | 6 | 0.41% | |
| 🙏 | 6 | 0.41% | |
| 25 further kinds | 64 | 4.37% |
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 414 of the 690 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 1,465 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 690 most recent posts we hold, published 6 August 2026 to 13 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.
Telegram Stars
- Stars received
- 1
- across the posts below
- Posts paid on
- 1
- of 689 we hold a reading for · 0.1%
- 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 690 most recent posts we hold for this entry, published 6 August 2026 to 13 November 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
Telegram’s own ‘edited’ marker: 10 of 366 posts held from the last 30 days (2.73%) 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).
加拿大9月建筑许可下降4.1%,多户住宅项目明显减少 #加拿大 加拿大统计局11月12日公布的数据显示,9月全国建筑许可总额环比下降4.1%,减少5.53亿加元,降至约129亿加元。住宅建筑许可明显减少,是整体下降的主要原因。 住宅建筑许可总额下降5.8%,至约78亿加元。其中,多户住宅项目许可金额减少5.29亿加元,降至51亿加元。独立住宅项目则增加5360万加元,达到27亿加元,部分抵消了多户住宅项目的下降。 从地区来看,BC省多户住宅许可金额减少2.92亿加元,阿尔伯塔省减少1.87亿加元,是全国下降的主要来源。 安省则呈现相反趋势。9月全省建筑许可总额环比增长6.6%,达到约53亿加元,其中住宅建筑许可增长2.6%。安省独立住宅许可金额增加1.03亿加元,对全国这一类别的增长贡献最大。 非住宅建筑许可金额下降7710万加元,至约51亿加元,主要受到公共机构及政府建筑项目减少的影响。 从季度数据来看,202…
BC省候任省长要求重新评估85亿加元隧道工程,主张改建大桥节省25亿 #加拿大 加拿大BC省候任省长洛恩·德克森11月12日致信即将卸任的新民主党政府,要求暂停推进那些可能使乔治·梅西隧道更换工程无法改为大桥方案的新合同和建设安排。 德克森领导的BC省保守党在10月24日省选中赢得约三分之二的省议会席位。他在竞选期间主张放弃新隧道方案,改建连接大温哥华地区列治文与三角洲的跨河大桥。 德克森周四表示,大桥方案预计能为纳税人节省25亿加元,而且他现在比竞选期间更加确信这一估算。 不过,德克森强调,他并未要求全面停工。对于无论采用大桥还是隧道方案都需要完成的工程,可以继续施工,现有合同也会受到尊重。他要求卸任政府暂时不要签订会增加隧道专项支出、限制新政府选择的新合同。 乔治·梅西隧道建于1959年,是连接列治文与三角洲的重要交通通道。2013年,时任BC省自由党政府曾计划建设一座10车道大桥,但新民主党2017年上台后取…
安省政府11月12日宣布,计划于11月16日提交法案,收紧私立职业学院获得政府学生资助的条件。新规定将限制学院依靠学生贷款扩大招生,并取消以网络授课为主的课程申请政府资助的资格。 #加拿大 根据提案,私立职业学院必须设有实体校区,主要通过网络授课的课程将不再符合安省学生资助计划(OSAP)的申请条件。政府还将限制学院通过OSAP资助扩大招生规模,但尚未公布具体上限。 新法案还将加强对招生中介的监管,限制学院与移民服务公司、招生机构等第三方企业的合作,禁止与教育无关的企业在校园内经营。 此外,学院必须加强学生身份、上课情况及课程完成情况的核实工作。省政府将获得更大的追偿权,可以要求违规学院承担相关学生贷款的责任,并对违反监管规定的学院处以罚款。 这次改革源于安省私立职业学院涉嫌滥用学生资助资金的调查。省政府今年10月暂停向私立高等教育机构发放OSAP资金,并委托毕马威展开全面审计,相关问题也已转交安省省警调查。 资金…
CNN:美国情报部门已经调查一年多,仍无法证明曾与黄仁勋有染的黄乐是间谍 国联邦调查局(FBI)调查黄仁勋这段婚外情的时间已经至少持续了一年。但美国司法部长托德·布兰奇周四表示,司法部、他本人以及FBI局长帕特尔,都尚未就黄乐究竟是什么身份作出结论。 消息人士说,美国国家情报总监办公室的一些官员,包括与国家情报总监杰伊·克莱顿关系密切的人士,认为将黄乐定性为中国间谍并不完全准确,而且存在夸大之嫌。 一名消息人士告诉CNN,CIA官员也尚未确信,迄今针对黄乐收集的情报,包括截获的通信内容,足以证明她明知自己在向北京传递情报。 但特朗普政府的一些官员告诉CNN,他们很难相信黄乐不是中国政府的代理人。他们的理由仅仅是,黄乐是成功的中国女商人,而且与美国最有影响力的企业之一存在业务往来。 👉 阅读全文: https://www.caus.com/all-articles/news/432511/
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观点:黄仁勋倒台暴露大型科技公司“创始人模式”的弊端,但看不到解决的希望 但至少在特朗普治下的华盛顿,政府几乎没有认真尝试加强对这些公司的约束。 眼下真正的危险是,一位科技创始人的倒台,反而会让他的竞争对手进一步巩固权力。 黄仁勋此前一直致力于围绕自己建立一个人工智能领域的“反叛帝国”,在一定程度上抗衡大型科技公司的主导地位。 他支持一批被称为“新型云服务商”的数据中心创业公司,积极推动开源人工智能的发展,并扶持正在迅速成长的人工智能应用和机器人生态系统。 如今,随着黄仁勋离开这个体系的中心,他促成交易的能力、宏大的战略眼光和个人影响力都将不复存在,这个生态系统也将面临风险。 留下的任何权力真空,都可能被其他科技帝国填补,而那些帝国的创始人早已是公众耳熟能详的人物。 其中包括扎克伯格。他的公司最近同意支付最多180亿美元,与美国多个州就儿童保护失职及社交媒体成瘾问题引发的重大诉讼达成和解。 还有马斯克。2018年…
停火协议下,以色列空袭加沙南部最大医院,至少6人死亡,外科手术部门瘫痪 沙卫生部门表示,死者包括医生、患者及陪护人员,并指责以色列严重破坏医疗体系,公然违反保护医疗设施、医护人员和患者的国际法律与公约。 遇难者之一是外科医生里齐克·阿布希拉。他曾出现在2026年纪录片《美国医生》中,与三名赴加沙协助救治巴勒斯坦人的美国医生共同工作。加沙教育部门证实,死者还包括13岁男孩。 袭击中受伤的医生艾曼·阿布·奥贝德回忆,当时他正在医院值夜班,与其他人在房间内休息,突然发生的爆炸使整个房间陷入黑暗,现场一片混乱。 法拉说,纳赛尔医院是加沙最后一家能够提供专科手术服务的医院。如今这些服务被迫中断,需要接受专科手术的患者将“面临未知的命运”。 在阿布·沙伊拉医生的葬礼上,穆罕默德·扎库特医生表示,阿布·沙伊拉“坚守在患者身边,履行自己的职责,最终在岗位上殉职”,夺走他生命的是“占领军的导弹及其罪行”。 扎库特称,阿布·沙伊拉是“最…
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美国共和党在2026年中期选举中取得少见的翻盘胜利。美联社11月12日确认,缅因州前州长保罗·勒佩奇击败民主党候选人、州审计长马特·邓拉普,赢得缅因州第二国会选区的联邦众议员席位。 勒佩奇曾于2011年至2019年担任缅因州州长,以保守派民粹主义立场著称,长期支持特朗普,但曾公开批评特朗普对加拿大征收关税的政策。 这一席位此前由温和派民主党众议员贾里德·戈尔登掌握。戈尔登自2018年首次当选以来连续赢得四届选举,即使特朗普在2024年总统选举中以约9个百分点的优势赢得这个选区,他仍成功保住席位。戈尔登去年宣布不再寻求连任。 缅因州11月5日公布的初步计票结果显示,勒佩奇获得170263票,邓拉普获得164845票,双方相差5418票。由于没有候选人获得全部投票的过半数,选举依法进入排序选择计票程序。邓拉普已于11月5日承认败选,美联社则在11月12日完成计票程序后正式宣布勒佩奇胜出。 据美联社统计,这是本届中期选举中,共…
Anthropic IPO认购需求达到发行规模六倍,计划融资904亿美元 #美股 彭博社11月12日报道,人工智能公司Anthropic的IPO受到投资者热烈追捧。知情人士透露,目前投资者提交的认购订单约为拟发行股票数量的六倍,有望成为史上规模最大的上市融资交易。 根据Anthropic提交的文件,公司计划通过IPO最多募集644亿美元,并同期进行260亿美元的私募融资,合计904亿美元。两部分融资规模相加将超过SpaceX的IPO。 知情人士表示,承销银行已经告知潜在投资者,Anthropic将优先向现有投资者分配股票,部分新投资者最终获得的股份可能少于预期。由于相关安排尚未公开,具体认购需求和发行条件仍可能变化。 Anthropic寻求的完全稀释后估值约为1.4万亿美元,低于部分投资者此前的预期。公司可能采取相对保守的初始定价策略,利用强劲需求提高最终发行价格。 Anthropic受到追捧,与英伟达最近遭遇的投…
英伟达黄仁勋辞职引发华尔街震荡,美股收跌,美债收益率大幅上升,分析师大幅下调英伟达估值 11月12日的交易显示,虽然黄仁勋辞职给英伟达造成了严重冲击,但华尔街并未因此全面放弃人工智能投资。 AMD、博通和Alphabet的上涨说明,部分资金正在人工智能产业内部重新寻找投资机会。投资者开始更加重视不同企业之间的竞争关系,而不再将整个行业的增长前景完全寄托于英伟达。 英伟达股价从盘中暴跌14%收窄至下跌4.34%,也表明市场并未完全否定公司的技术优势和业务基础。 但英伟达的估值调整可能远未结束。 黄仁勋过去长期担任公司的战略核心,华尔街目前难以判断新管理层能否维持同样的产品创新速度、客户关系和行业影响力。即使人工智能芯片需求继续增长,公司也可能因为领导层和监管风险而面临持续的估值折价。 更大的压力来自宏观经济。 美国10年期国债收益率升至5.1%以上,已经明显提高了科技股维持高估值的难度。国际油价上涨又增加了通胀反弹风…
美国总统特朗普在接受采访时谈及外国情报机构的间谍活动,表示美国同样会监听其他国家的电话。他强调,情报活动从来不是单方面的,美国也非常擅长这方面的工作。 特朗普:“有这种可能。你知道,我们也会针对他们采取行动。这从来都不是单方面的。 有人说,他们在监听我们的电话。我说,没错,我们也在监听他们的电话。 我们确实在监听他们,他们也在监听我们。长期以来一直如此,而且我们在这方面也做得非常出色。 所以,我只是不希望他们以为我们是一群什么都不懂的小孩子,不知道究竟发生了什么。”
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巴西野生动物血液中发现微塑料,远离人类活动的地区也未能幸免 11月11日发表在《自然》期刊上的一项研究发现,巴西野生大食蚁兽和低地貘的血液中普遍存在微塑料,即使生活在距离人类开发设施超过65公里的偏远地区,也无法完全避开这种污染。 研究人员在2021年2月至2022年11月期间,对生活在巴西亚马逊雨林、塞拉多稀树草原和潘塔纳尔湿地的47只野生动物采集血液样本,包括26只低地貘和21只大食蚁兽。 检测结果显示,43只动物的血液中含有微塑料,平均每毫升血液含73.8个颗粒。低地貘的平均浓度为每毫升98.9个颗粒,大食蚁兽为42.8个,但两种动物之间的差异未达到统计显著水平。 研究人员指出,这些动物血液中的微塑料浓度处于此前人类血液研究报告的范围内。 研究团队还利用GPS追踪动物的活动范围,分析它们与人类开发设施及垃圾处理设施的距离。 结果发现,动物活动区域受到人类干扰的程度越高,血液中的微塑料浓度往往也越高。距离开发设施…
Showing the 12 most recent of 690 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
Posts recorded as deleted after publishing
We recorded 2 posts on @causmoney as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 12 August 2026
- Most recent seen missing
- 25 August 2026
- Median time before seen missing
- 14 hours
- Seen missing in the last 30 days
- 0
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.
@Guanshuitan · 33,923
Telegram ranks this channel #11 of 58 here — alongside 57 others — read 1 October 2026
@OutsightChina · 41,905
Telegram ranks this channel #19 of 58 here — alongside 57 others — read 29 August 2026
@FinanceNewsDaily · 59,368
Telegram ranks this channel #20 of 60 here — alongside 59 others — read 24 August 2026
@hgclhyyb · 19,872
Telegram ranks this channel #24 of 54 here — alongside 53 others — read 1 October 2026
@pelosi3 · 72,526
Telegram ranks this channel #24 of 51 here — alongside 50 others — read 20 August 2026
@JShangrong · 24,112
Telegram ranks this channel #32 of 60 here — alongside 59 others — read 15 September 2026
@cdtchinesefeed · 51,932
Telegram ranks this channel #51 of 60 here — alongside 59 others — read 29 August 2026
@hkposter777 · 22,588
Telegram ranks this channel #71 of 78 here — alongside 77 others — read 20 September 2026
This channel appears in 8 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 9 November 2026 — this entry's latest reading, not the date you are reading this.
“加美财经causmoney” (@causmoney), 9,099 subscribers as measured 9 November 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.