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Channel

星辰观察站

@web2star

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

8,413subscribers

+507 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-1001897617940
TypeChannel
Username@web2star
CreatedBetween 1 November 2022 and 31 July 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held28
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/web2star

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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

7,9068,4328,1696 August 2026 — 7,906 subscribers6 August 2026 — 7,906 subscribers6 August 2026 — 7,907 subscribers9 August 2026 — 7,951 subscribers12 August 2026 — 7,988 subscribers15 August 2026 — 8,016 subscribers17 August 2026 — 8,052 subscribers21 August 2026 — 8,117 subscribers25 August 2026 — 8,168 subscribers27 August 2026 — 8,192 subscribers31 August 2026 — 8,361 subscribers2 September 2026 — 8,378 subscribers8 September 2026 — 8,387 subscribers12 September 2026 — 8,390 subscribers17 September 2026 — 8,399 subscribers26 September 2026 — 8,383 subscribers4 October 2026 — 8,421 subscribers10 October 2026 — 8,427 subscribers14 October 2026 — 8,414 subscribers17 October 2026 — 8,422 subscribers20 October 2026 — 8,418 subscribers23 October 2026 — 8,421 subscribers26 October 2026 — 8,419 subscribers29 October 2026 — 8,418 subscribers2 November 2026 — 8,424 subscribers4 November 2026 — 8,429 subscribers8 November 2026 — 8,432 subscribers12 November 2026 — 8,413 subscribers8,4136 August 202612 November 2026
28 measurements spanning 98 days, net +507. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 7,827–8,511 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
12 Nov 2026, 09:588,413-19
8 Nov 2026, 09:408,432+3
4 Nov 2026, 21:378,429+5
2 Nov 2026, 01:318,424+6
29 Oct 2026, 16:568,418-1
26 Oct 2026, 09:048,419-2
23 Oct 2026, 07:108,421+3
20 Oct 2026, 14:108,418-4
17 Oct 2026, 15:378,422+8
14 Oct 2026, 11:558,414-13
10 Oct 2026, 17:588,427+6
4 Oct 2026, 23:418,421+38
26 Sept 2026, 04:418,383-16
17 Sept 2026, 00:588,399+9
12 Sept 2026, 15:558,390+3
8 Sept 2026, 04:218,387+9
2 Sept 2026, 18:588,378+17
31 Aug 2026, 01:188,361+169
27 Aug 2026, 17:428,192+24
25 Aug 2026, 00:238,168first reading

Engagement

330 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 40 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.94%
avg views ÷ 8,413 subscribers
Avg views / post
248
127 posts measured
Reaction rate
0.63%
reactions ÷ views · ER floor
Posts in window
127
of 330 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 48 of 127 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held330 (5 August 2026 – 12 November 2026)
Views total31,445
Reactions total75
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 01:45 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
34m 47s
Average length
1m 17s

Measured directly from 27 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

130 reactions across 84 posts, in 8 distinct kinds. The most used accounts for 48.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6348.5%
❤5441.5%
🤡75.38%
👎21.54%
🔥10.769%
😁10.769%
😎10.769%
🤮10.769%

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 96 of the 330 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 132 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 330 most recent posts we hold, published 5 August 2026 to 12 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 127 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).

12 Nov 2026, 01:19 UTC38 views1 reactionsread 12 November 2026
Photo

孙宇晨在八年前给年轻人的建议 1. 30岁之前,不买房,不买车,不结婚,把全部现金流投入自我增值赛道。 2. 婚姻是人类历史上绑定最紧密,也最危险的合伙人制度,大多数人在30岁之前都没能力当好合伙人。 3. 投资自己不是报一堆课,而是把20%的时间拿来试错,80%的时间拿来复盘。 4. 把钱花在一线城市的信息密度上,而不是花在县城的房贷上。 5. 把自媒体账号当成可无限加杠杆的股权,粉丝就是未来现金流。 6. 财富自由不是账户里有多少钱,而是不必再为金钱牺牲情感,尊严和注意力。 7. 越早承认自己的无能,就能越快踏上致富之路,承认是改变的第一步。 8. 复利不只属于金钱,健康,认知和品牌也有复利曲线,前提是你得活得够久。 金融/币圈|出海赚美金|优质资源|优质信息

👍1

11 Nov 2026, 20:13 UTC105 viewsread 12 November 2026
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对于中国而言,破解马六甲困局,缅甸的战略位置非常重要,中国要在印度洋找到出海口,最佳的选择,就是从云南修一条铁路,直达缅甸的孟加拉湾,打通印度洋出海口。 这样一来,中国可以绕开马六甲海峡,通过印度洋,直接就可以抵达中东和非洲,甚至欧洲。不仅方便,而且近了很多。 无论是货物还是能源,通过这条通道,就能突破西方的封锁,美国的亚太战略成为一纸空谈。这一次缅甸总理访华,这一问肯定会涉及到国家战略合作核心层面。对于中国而言,无疑至关重要。对于缅甸而言,关乎其国家的国运。 所以,现在谈建设中缅铁路,应该到了水到渠成、众望所归的程度了。 金融/币圈|出海赚美金|优质资源|优质信息

11 Nov 2026, 17:54 UTC117 viewsread 12 November 2026
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国产真正值得入手的8个“平替”,不少东西真没必要多砸几倍的钱去买大牌。 吸尘器:戴森三四千,小狗几百块,31000Pa吸力。 吹风机:戴森两三千,科西13万转高速马达,200多。 锅具:双立人纯钛铁锅上千,三禾小几百就能搞定。 洗地机:大牌两三千,德尔玛几百块,高温自清洁也有。 人体工学椅:动辄两三千,联丰两三百,靠背、脚托、散热都有。 行李箱:新秀丽上千,悠客24寸铝框箱只要一百多。 电饼铛:认准利仁,从1995年做到现在,老牌专业户。 保温杯:哈尔斯,国产上市企业,品质不错,价格也实在。 金融/币圈|出海赚美金|优质资源|优质信息

11 Nov 2026, 13:43 UTC169 viewsread 12 November 2026
Video

给孩子的第一堂投资课 这套《股神巴菲特》系列动画片全52集,英语原声配中文字幕,把巴菲特从早期经历到核心投资原则都用动画形式讲出来了。 内容覆盖价值投资、长期持有、复利思维这些关键概念,画面和节奏适合边看边学,不用硬啃厚书也能建立基本框架。 完整52集一次看完,比碎片化找资料省事很多 🔗:https://pan.chatgptgi.com/FCX5YcFg 金融/币圈|出海赚美金|优质资源|优质信息

11 Nov 2026, 12:15 UTC186 viewsread 12 November 2026
Photo

搞量化交易,别再东拼西凑找资料了。 推荐一个开源项目 Awesome Systematic Trading,几乎把量化交易的学习资源一次性整理齐了。 里面收录了 97 个量化库和工具、40+ 套经典策略、55 本量化书籍、23 个视频课程,从数据获取、回测、指标、风控到实盘框架,基本都能找到。 无论你是刚入门,还是想开发自己的量化策略,这个仓库都值得收藏,能少踩不少坑。 🔗 https://github.com/paperswithbacktest/awesome-systematic-trading 金融/币圈|出海赚美金|优质资源|优质信息

11 Nov 2026, 12:01 UTC161 views0 reactionsread 12 November 2026
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沙特依然是常规操作,两边下注两边交保护费! 沙特这个国家其实很聪明,他们知道自己的长处和短板。 沙特有的是石油能源,所以他们不差钱。 但是沙特没有任何的工业基础,也没有军事能力。 这样的国家想要活得好,就必须长袖善舞。 大家不要看沙特在美国这边买了这么多的武器。 其实就是保护费。 美国人很清楚这些武器指不定猴年马月才能给沙特送去呢。 沙特也不着急,反正合同已经签了。 态度很明确,而钱也不是一笔就打过去。 而是分批次打过去。 美国的军火不到位,沙特也不可能给全款。 等到安抚好了特朗普之后,沙特还会上咱们这边来下订单的。 而咱们中国的制造业能力有多强,这就不用咱们自己吹了。 中国这边的军火交易也许额度会稍微小一些,但是频率一定会很快。 因为交货的周期很短嘛。 所以沙特可以小批量多次的购买。 这样一方面不会彻底惹恼了美国,另外一方面也完成了两边下注的外交战略。 说白了就是保护费不能只给一家交,两家都要交一些的。 反正这点钱多开采点石油…

11 Nov 2026, 11:51 UTC144 viewsread 12 November 2026
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世界上最赚钱的公司,居然是沙特阿美,就是沙特阿拉伯国家石油公司。之前我一直以为最赚钱的应该是科技或者网络之类的公司,哪里知道原来是挖石油的最赚钱。 沙持阿美年利润高达1050亿美元,且是连续四年位居利润榜榜首! 听说开采一桶原油的成本只有2.8美元,售价按60美元/桶好了,利润高达21倍。大家说是不是暴利?是不是躺赚,有什么比这个更赚钱的买卖? 怪不得说人家沙特富得流油,一点都不夸张。人国家就占了地利的好,遍地是石油,遍地是钱。 沙特阿美公司约8万人创造年利润1050亿美元,相当于我国江苏省8074万人干一年的总和! 也就是说1000个才能抵上人家1个人创造的财富!就问你还是服不服? 中国上哪里找这么暴利的行业? 金融/币圈|出海赚美金|优质资源|优质信息

11 Nov 2026, 10:38 UTC161 viewsread 12 November 2026
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华尔街45年老将揭秘:OpenAI这轮融资,像是一场精心设计的骗局。 亚马逊投500亿→OpenAI承诺买1000亿AWS 英伟达投 300亿→OpenAI承诺买3GW芯片 这不是投资。是供应商给自己客户付钱。 7300亿估值,零利润,累计亏损超1150亿。 350亿附条件:必须实现AGI或年底IPO。 金融/币圈|出海赚美金|优质资源|优质信息

11 Nov 2026, 08:11 UTC179 viewsread 12 November 2026
Video

New trading method just dropped🧠 金融/币圈|出海赚美金|优质资源|优质信息

11 Nov 2026, 07:42 UTC184 views1 reactionsread 12 November 2026

赵薇当年用6000万去撬动30亿,看起来很聪明,但每一分借来的钱都有期限和条件。 市场情绪可以推高股价,也可以在问询函出来的一瞬间迅速退潮。 普通人可能一辈子都不会去收购上市公司,但贷款买房、借钱开店、加仓炒股,本质上是同一个问:你愿不愿意为最坏的结果买单?如果答案是不确定,那杠杆就可能变成负担。 这两年资本市场的规则也在发生变化。 2024年新“国九条”落地,强调加强投资者保护,严把信息披露关。 回头看万家文化收购案,恰恰是信息披露违规的典型样本。 规则不是为了拦住谁,而是为了让所有人在同一张桌子上对。 赵薇的经历放在这个背景下看,更像一个提醒:无论你站得多高,手里的资源有多少,都不能把借来的运气当成自己的实力。 2026年3月,赵薇满50岁。 没有公开庆祝,只有零星的司法冻结信息。 她塑造的“小燕子”依然是很多人的童年记忆,这一点不会因为资本市场的失败被抹去。 但那段高杠杆收购的经历,也会一直留在监管文件里,成为后来者的参照…

❤1

11 Nov 2026, 07:42 UTC171 viewsread 12 November 2026
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50岁赵薇为什么搞成这样?事业没了,婚姻散了,如今连房子都卖了 2024年赵薇在微博上发了一段,说自己多年前已经和黄有龙正式离婚,法律上的婚姻关系早已解除。 她用了“恳请”两个字,希望外界承认事实,不要再把她卷进前夫的关联报道里。 这条微博没有配图,语气也很平静,但很多人看完才意识到,那个曾经家喻户晓的“小燕子”,确实已经很久没有出现在公众视野里了。 时间往回拨到2016年。 那一年赵薇已经不甘心只当演员,她成立了一家叫龙薇传媒的公司,注册资本只有200万元。 就是这家公司,宣布要拿出30.6亿元,收购上市公司万家文化29.135%的股权。 消息一出来,市场先沸腾了,万家文化的股价连续涨停,不少散户追着进场。 可细看资金安排才发现,赵薇自己只掏了6000万元,剩下的近30亿元全靠借款和股票质押融资。 算下来杠杆超过50倍,相当于用6000万去撬动30亿的盘子。 故事并没有按照剧本走。 监管的问询函一到,原本答应借款的融资方陆续退…

11 Nov 2026, 05:16 UTC207 viewsread 12 November 2026
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今天美股市场标普涨0.62%收7757、刷新历史新高,纳指涨1.30%,VIX压到14.9。推手是一份烂到出奇的非农:7月岗位不增反减2.3万,市场原本等的是增8万,五六月还被合计下修10.3万。九月加息押注从57%砍到44%,十年期美债收益率回落到4.64%,黄金冲上七周新高。 但这份数据要看仔细。失业率降到4.1%、两年最低,靠的是26.4万人直接退出劳动力市场,参与率掉到五年半来的低位附近。说白了,市场今天是在为一份岗位净减少的报告开香槟,因为坏消息现在等于不加息。 本周最精彩的是SpaceX。周二财报营收超预期,却因为capex从上季度77亿翻到158亿被砸;周三跌13.6%、创上市新低;周四首批9.11亿股解禁、流通盘翻倍还多,所有人等踩踏,它涨6.1%;今天Argus上调到买入、目标价160,直接飙15.83%。一周涨了约18%,重新逼近发行价。后面还有八批解禁,这只是第一关。 唯一没被修好的是内存。DRAM指数今天…

Showing the 12 most recent of 330 posts we hold for @web2star. 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 recorded as deleted after publishing

We recorded 2 posts on @web2star 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
6 November 2026
Most recent seen missing
10 November 2026
Median time before seen missing
18 hours
Seen missing in the last 30 days
2

Forward network

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.

Mentions

Named by 14 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“星辰观察站” (@web2star), 8,413 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/web2star.

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.