集体挤着过节假日是智商税
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Channel
@pelosi3
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
71,125subscribers
+1,345 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001382914383 |
|---|---|
| Type | Channel |
| Username | @pelosi3 |
| Description | 求存求活,最新的宏观政策,财经观点以及敏感信息分析交流,所有观点均为谈资,决策请慎重。群聊讨论请加https://t.me/pelosi233 备用频道,防走失,欢迎加入: https://t.me/pelosi333 投稿/合作请联系https://telega.io/c/pelosi3 购买广告: https://telega.io/c/pelosi3 信息分享不易,欢迎大佬打赏,USDT 投喂地址: TLKcoid5nLHViVfG1HvsArauWFdv2hXDeu |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/pelosi3 |
International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 07:39 | 71,125 | +258 |
| 17 Sept 2026, 07:58 | 70,867 | +80 |
| 15 Sept 2026, 06:40 | 70,787 | +58 |
| 13 Sept 2026, 16:18 | 70,729 | +58 |
| 11 Sept 2026, 18:57 | 70,671 | +39 |
| 9 Sept 2026, 08:57 | 70,632 | +35 |
| 6 Sept 2026, 03:57 | 70,597 | +13 |
| 4 Sept 2026, 00:22 | 70,584 | +31 |
| 2 Sept 2026, 17:44 | 70,553 | +11 |
| 1 Sept 2026, 19:04 | 70,542 | +28 |
| 31 Aug 2026, 15:35 | 70,514 | +47 |
| 30 Aug 2026, 17:23 | 70,467 | +11 |
| 29 Aug 2026, 18:48 | 70,456 | +6 |
| 28 Aug 2026, 22:06 | 70,450 | +43 |
| 27 Aug 2026, 21:54 | 70,407 | +21 |
| 26 Aug 2026, 20:04 | 70,386 | +27 |
| 25 Aug 2026, 17:32 | 70,359 | +13 |
| 24 Aug 2026, 17:24 | 70,346 | +32 |
| 22 Aug 2026, 22:17 | 70,314 | +53 |
| 21 Aug 2026, 11:06 | 70,261 | first reading |
1,008 posts held, back to 5 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 115 pages of Telegram’s post history, 20 posts per page.
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 511 of 520 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 October 2026 |
|---|---|
| Posts held | 1,008 (5 August 2026 – 2 October 2026) |
| Views total | 1,820,788 |
| Reactions total | 18,086 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 02:58 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.
Lifetime counters from Telegram’s own channel header, read 2 October 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.
Measured directly from 74 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.
35,685 reactions across 968 posts, in 44 distinct kinds. The most used accounts for 26.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 9,268 | 26.0% | |
| 🤡 | 5,538 | 15.5% | |
| 🎉 | 4,026 | 11.3% | |
| 👍 | 3,222 | 9.03% | |
| 🤣 | 3,199 | 8.96% | |
| ❤ | 1,857 | 5.20% | |
| 🤮 | 1,792 | 5.02% | |
| 💩 | 1,636 | 4.58% | |
| 🖕 | 994 | 2.79% | |
| 👏 | 635 | 1.78% | |
| 😱 | 430 | 1.20% | |
| 💊 | 423 | 1.19% | |
| 🥰 | 262 | 0.734% | |
| 😴 | 243 | 0.681% | |
| 🤪 | 219 | 0.614% | |
| 👎 | 212 | 0.594% | |
| 🙈 | 198 | 0.555% | |
| 🔥 | 188 | 0.527% | |
| 🤩 | 161 | 0.451% | |
| 🥱 | 158 | 0.443% | |
| 24 further kinds | 1,024 | 2.87% |
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 982 of the 1,000 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 35,920 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 5 August 2026 to 2 October 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pelosi3. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 5 August 2026 to 2 October 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.
集体挤着过节假日是智商税
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洛杉矶,中国人被逮捕 这是美国司法部刚公布的一起出口管制案件。 加州大洛杉矶地区的老板 Greg Lui(又名 Yiu Kong Lui,38岁)于2026年10月1日被FBI和商务部执法人员逮捕。联邦大陪审团9月29日对他提起三项指控:密谋违反出口管制法、出境走私,以及密谋洗钱。 检方称,2023至2024年间,Lui 通过其公司向美国制造商采购含英伟达(Nvidia)高端GPU的服务器(涉及H100等受控型号),谎报最终用户,先运到马来西亚和新加坡(这些目的地无需许可证),再转运到中国,总值超过3亿美元。 期间公司从两家马来西亚货运公司收到超过1.76亿美元。美国认为这类高端GPU可用于军事和先进人工智能用途,向中国出口需商务部许可。 若全部罪名成立,最高可面临数十年监禁。他预计在洛杉矶联邦法院出庭。相关视频显示,执法人员在其位于City of Industry的公司总部将其带走。
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国庆长假才刚第一天,闲不住的经济学家付鹏,开了个新账号,直播闷声打王者荣耀。 而且老哥打的还是辅助,网名叫金融炼药师。
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【美联储10月维持利率不变的概率升至75.1%】 据CME“美联储观察”:美联储到10月维持利率不变的概率为75.1%,累计加息25个基点的概率为24.9%。美联储到12月维持利率不变的概率为20.6%,累计加息25个基点的概率61.3%,累计加息50个基点的概率为18.1%。
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据半岛电视台:美国官员表示,“罗斯福”号航母已与其打击群离开圣迭戈基地,前往中东。到11月底,将有3艘航母和两支两栖攻击群部署在伊朗周边海域。随着中东地区集结如此庞大的兵力,领导人将拥有多种应对选项。
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中国暂停了10月大部分燃料出口,优先补充国内库存,应对伊朗战争及俄罗斯炼油厂遭袭带来的供应扰动。 中国石油已取消部分汽油和航空燃油出口,浙江石化在假期一周没有安排出口。出口会不会在10月7日后恢复,目前还不确定。中国柴油库存估计比战前水平少约2000万桶,汽油库存少约900万桶。
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25岁画师被骗4万余元,去世前一天仍求约稿:“一定会保质保量” 9月30日,广东佛山25岁画师“不吃西柚”自述被骗4万余元后坠亡一事在微博引发讨论。 她9月17日仍在发帖求约稿还钱,承诺“一定会保质保量认真对待”;据家属发布的消息,她于次日凌晨去世。 同画社画师称,她去世前一天还在发布每张250元的接稿信息,一张插画可能需要六七个小时以上才能完成,还要扣除平台和画社抽成。 她在求助帖中称,9月13日至14日,骗子以约稿为由接近她,冒充闲鱼客服,谎称账户冻结、需要刷流水解冻,诱导她扫码、使用借贷软件,导致她损失4万余元,其中包括借贷款项。 她表示,欠款加上房租、杂费,每月至少需要8000元,连续高强度画稿让她压力很大。 她附上报警回执,恳请大家向她约稿:“一定会保质保量认真对待,真心感激不尽。” 据同行回忆,她受骗后每天都在努力画画还钱。9月17日下午,她还请画社负责人帮忙宣传接稿信息。 后来,群里再出现她账号发出的消息,…
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贫困家庭积蓄4万元被诈骗,多笔支付走向迪士尼 近日,广东贫困山区一名15岁女生在微博出售二手物品,遭诈骗团伙以”账户冻结需解冻”为由,诱导其下载远程控制软件,并冒充客服逐步引导其用父亲手机支付多笔订单,最终将五张信用卡及花呗合共4万元悉数转走,其中多笔支付向了上海迪士尼。 涉事少女的哥哥在社交媒体上发长文讲诉了整个过程,该家庭靠父亲拉货维生,哥哥和父亲两人两年的积蓄都不足此数,事后已向警方报案。 哥哥在文中表示,事发后妹妹“只是这天坐在地上,眼泪一直掉着,她好像不知道自己在掉泪。看着这些迪士尼的账单,迪士尼,迪士尼,多么梦幻和美丽的地方,可惜有人用我们一家人的未来去替我们观赏了”。 该事件迅速引发网友共鸣并对博主表示安慰,大家纷纷表示要注意妹妹的情绪,不能让她过度自责而想不开。
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蓝佛安部长在《求是》杂志发表的文章在内网和外网都引起了一丢丢的影响。 这篇文章,其实可以跟他7月份在《人民日报》上发的文对照着看。 昨天的文章核心在说啥?政策还不够,政策还要加码。预算、债务、资产、税收和地方财政这些。。。还能从哪儿腾挪点儿空间? 7月份的文章说的啥?政策有效了,我们要如何利用财政政策带动民间投资,让居民勇敢地贷款。 有没有一种错位的感觉?这两篇文章换换顺序我会觉得合情合理、合乎逻辑。 但是换过来,总觉得哪里不太对。
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🔥访民攀等列车顶遭电击身亡! 2026年10月1日,D1884次列车(柳州—广州南)开车前,一名访民攀登车顶,随后遭高压电击。120急救人员到场后确认其已无生命体征。 列车预计12时48分从柳州站开出,南宁客运段担当,CRH2A-2402列车。 国庆当天,一名访民竟以攀登高铁车顶的方式表达诉求,最终付出了生命的代价。 人已经没了,但一个人为什么会走到这一步,不能随着生命的消失而被一笔带过。 访民为何攀登车顶?此前究竟经历了什么?他的诉求有没有得到回应?这些问题,都应该有一个交代。
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五角大楼成立近八十年以来, 最激进的一次军事外包正式落地了, 让造星链的马斯克和造无人机的 Luckey, 来给五角大楼写未来十年的军火采购清单, 就在刚刚,美军宣布启动子午线计划, 要求他们在 120 天内画出一张覆盖到月球轨道的未来战争地图。 表面是极客受邀参谋,底层是硅谷科技巨头对千亿军费采购权的一次公开降维接管。 在弗吉尼亚州匡提科的部队国情咨文讲台上,战争部长 Pete Hegseth 正式宣布: 马斯克、Anduril 创始人 Palmer Luckey、前众议院议长 Newt Gingrich 三人,将共同领导一项名为子午线计划(Project Meridian)的绝密研究。 台下上百名高级军官齐刷刷鼓掌,三人起立致意。 但这绝不是一场走过场的名流作秀,而是五角大楼在公开承认:靠体制内的将军和传统军工巨头,已经算不清楚下一场战争的账了。 今天把这段宣布视频里没明说的干货一次拆透👇 先说本质: 这不是新…
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【特朗普:中期选举后可能加大轰炸的伊朗力度】 当前特朗普政府正艰难地为已进入第八个月的美伊冲突寻找退出方案。但特朗普在时代周刊的采访中表示,在11月中期选举后,可能加大对伊朗的军事打击力度。特朗普近几周表示,他认为伊朗在将外交谈判拖延至中期选举之后。在本次选举中,其所在的共和党在保住国会控制权方面面临艰难局面。特朗普最近拒绝了伊朗提出的一项提议,该提议以重新开放霍尔木兹海峡换取美国让步,例如结束对伊朗港口的封锁或放松石油制裁。当被问及是否会在中期选举后恢复轰炸伊朗时,特朗普表示,“可能”。在被追问更多细节时,他说:“我不能告诉你,因为你知道,你问的是,你要轰炸哪里。”特朗普还淡化了外界对美国弹药库存的担忧,称美国有“很多武器”,包括较低级别的武器。
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Showing the 12 most recent of 1,008 posts we hold for @pelosi3. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 5 registered channels — 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 20 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 19 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“敏感经济信息分享” (@pelosi3), 71,125 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/pelosi3.
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.