Channel
@xingfuv
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
522subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002331454730 |
|---|---|
| Type | Channel |
| Username | @xingfuv |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 6 August 2026 |
| On Telegram | t.me/xingfuv |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 23:07 | 522 | no change |
| 6 Aug 2026, 19:49 | 522 | first reading |
20 posts held, back to 2 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 1 pageof 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 2 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (2 August 2026 – 6 August 2026) |
| Views total | 3,045 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:49 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 2 of the 20 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 August 2026 to 6 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.
动机心理学 《动机心理学》作为一本科学和前沿的心理学学术专着，解释了动机这一人类行为背后的深层机制：我们为什么要做某件事，做这件事的目的是什么，我们希望达到什么样的预期目标，以及我们能从这件事中获得什么。在本书中，作者对动机的研究不仅没有囿于生物学，还强调了认知、情绪、目标、神经科学和潜意识的综合影响；另外，作者还强调了动机研究的跨学科性质，涉及了心理学、教育、健康、商业和体育等方面的大量知识，让读者感觉这些内容与自己的生活息息相关。 [美]爱德华·伯克利 [美]梅利莎·伯克利 | weread.qq.com
半小时讲透AI时代的新职业：FDE（轻科技） AI的能力已经过剩，把能力变成价值的人却严重短缺。 FDE（前沿部署工程师）正以800%的职位增速席卷全球，年薪百万却一将难求。它不是算法天才，也不是销售顾问，而是带着技术“住进”客户现场，把AI从炫酷演示变成天天可用的落地工具。 本书从Palantir的传奇起源，到MIT报告揭示的95%项目失败真相，再到真实的一天工作、薪酬前景与代价，带你透彻理解这个新物种。即使不当FDE，它也能教你“离问题近一点、做跨界翻译、对结果负责”——这恰恰是AI时代普通人最值钱的生存法则。 樊中恺 | weread.qq.com
财经（2026年第16期） 美式职业体育联盟的变现手段系统性植入足球场，让世界杯的商业价值飙升，但也让世界足坛陷入分裂 财经 | weread.qq.com
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大地上我们转瞬即逝的绚烂 ◆一位西贡少年的成长回忆录与家族辛酸史 ◆一场对亲情、种族、阶级、性别和自我认同残酷而坦率的探索 ◆ 我是小狗。 名字是外祖母兰给我起的。在兰长大的那个村子，人们会给像我一样过于瘦弱的孩子起个贱名来护身。名字薄如空气，但也可作盾牌。小狗盾牌。 我和母亲、外祖母因战事而逃离到美国。我脱下我们的母语，戴上我的英语，像一副面具，好让别人能看到我的脸，进而再看到她们的。 我正以人子的身份给母亲写信。我有好多话想对她讲。回忆往事，还有那个未说出口的秘密。因为我不想在还没说出自己是谁的时候就被抹去。 [美]王鸥行 | weread.qq.com
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第一炉香（轻经典） 本文选自张爱玲著《倾城之恋》，带你领略旧香港纸醉金迷背后的悲凉。上海女孩葛薇龙为求学寄身姑母家，却在奢华社交圈中迷失，与浪子乔琪乔展开纠葛之恋。张爱玲用细腻笔触描绘出人性在欲望中的挣扎，展现了爱与现实的残酷碰撞。 张爱玲 | weread.qq.com
人鱼（黄杨钿甜、董勇主演同名影视剧原著） 人鱼（《三体》导演杨磊执导，黄杨钿甜、董勇等主演同名影视剧） 《人鱼》是一部长篇小说。作品以两个女高中生为主人公，从受害者与目击者视角，讲述了上世纪90年代几个平凡家庭的善恶与悲喜。 爸爸用我做了利益交换，筹码是我的消失，妈妈哭泣过，*终沉默了。反正我们之间除了血缘关系，什么都没有。反正只要有弟弟，他们就是幸福的一家人了。我并不觉得愤怒，只打算像个蛆虫一样平凡地活下去。 …… 此时此刻，我坐在下水道里写下这些，内心始终有一种奇怪的感觉。似乎我过去、现在、将来一直都属于这里。我身上的某种牵绊——与头顶那个世界联结的——已经被彻底割断了。在我的生活中始终出现的减号，终于到了尽头，划上了等号。 在等号的后面，我看到了“零”。 1994年，我的人生要重新开始了。 雷米 | weread.qq.com
当AI开始自主进化，普通人最该守住什么？（轻科技） “AI造AI”已成为现实——做出这个判断的不是科幻小说家，而是以“安全可控”立命的、创造出Claude的AI巨头Anthropic。 这家公司由前OpenAI研究副总裁达里奥·阿莫迪因安全理念分歧出走创立，名字意为“与人类有关”，核心使命只有一个：如何控制比人类更聪明的AI。然而2026年6月，它却向全人类发出最沉重的警告：公司主代码库超80%已由Claude自己编写，工程师人均产出是2024年的8倍，AI独立完成任务时长每4个月翻倍，完全自主的“递归自我改进”可能两年内到来。联合创始人Jack Clark直言：“现在的AI行业，只有油门，没有刹车踏板。” 但真正值得警惕的不是AI有多强，而是我们是否正把“判断”也一并交出去。从文明尺度（人类还能否喊停）到个人尺度（你还敢不敢拍板），答案都指向同一个位置：守住那个能验证、能判断的位置。看懂AI，不是为了恐慌，而是为了在工具越强…
她们的呐喊 《她们的呐喊》精选自英国妇女参政运动领袖埃米琳・潘克赫斯特 1914 年出版的个人回忆录。从19世纪中期开始，英国女性一直试图以温和的方式争取选举权，却始终遭遇漠视与搁置。为打破僵局、推动事业取得实质突破，埃米琳·潘克赫斯特和同伴于20世纪初创建了妇女社会政治联盟，以坚定的战斗行动，向当局宣告女性争取公民权利的决心。 本书记录了19世纪末至一战前，英国妇女为争取投票权展开的艰苦抗争。妇女参政论者与各党派人士、议会官员周旋，她们打断会议发言、组建代表团请愿、身陷牢狱后发起绝食抗议，甚至有人不惜以自殉赛马场的方式向国王请愿。这场波澜壮阔的运动最终彻底点燃了社会舆论，震醒了漠然的当权者，为英国妇女选举权的推进奠定了决定性基础。1918年，英国30岁以上的女性正式获得选举权；1928年，英国妇女终于享有和男性平等的选举权。 这段记录，不只是埃米琳·潘克赫斯特个人的战斗，更是一代女性冲破桎梏的抗争之路。她们是无数平凡的女性，…
仪式的力量 迈克尔·诺顿（Michael Norton） 现任哈佛商学院哈罗德·M·布里尔利教席企业管理教授，专注于研究人类在爱与不平等、时间与金钱、幸福与悲恸等领域的行为规律。2012年，他被《连线》杂志评选为“将改变世界的50人”之一。其TED演讲《如何购买幸福》观看量已近450万次。他长期为《华尔街日报》《纽约时报》《科学美国人》等媒体撰稿，并频繁亮相于各大电视、广播及播客节目。 [美]迈克尔·诺顿 | weread.qq.com
寒门入局：体制生存手记 【真实口述+寒门逆袭+个人成长】当所有官场小说都在教你人情练达、左右逢源时，带甲用一个寒门子弟的十五年亲身经历，告诉你围墙里的真实规则。 不是会敬酒就能升官，不是有关系就能躺赢。从被两面三刀的老同事陷害，到成为一把手的心腹；从自负到清醒，从碰壁到破局，他犯过所有能犯的错，也被每一个错误狠狠教训过。这本书没有鸡汤，只有过来人用血泪换来的生存智慧。 带甲 | weread.qq.com
Showing the 12 most recent of 20 posts we hold for @xingfuv. 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.
Citation-graph rank — 316,703 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“微信读书” (@xingfuv), 522 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/xingfuv.
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.