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Channel

白马苞养

@baimabaoyang188

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

9subscribers

+0 since we began measuring on 6 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001688139642
TypeChannel
Username@baimabaoyang188
Description欢迎来到白马苞养 📚每天半小时,搞懂一本书 听书专为忙碌的人设计,带你快速了解一本书的精华,随时充电。
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 September 2026
Last confirmed live16 September 2026
Measurements held2
On Telegramt.me/baimabaoyang188

Growth

96 September 2026 — 9 subscribers14 September 2026 — 9 subscribers6 September 202614 September 2026
2 measurements spanning 8 days. 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 8–10 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Sept 2026, 15:229no change
6 Sept 2026, 21:479first reading

Engagement

20 posts held, back to 27 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
533.3%
avg views ÷ 9 subscribers
Avg views / post
48.0
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 September 2026
Posts held20 (27 June 20266 September 2026)
Views total96
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Sept 2026, 15:22 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
56

Lifetime counters from Telegram’s own channel header, read 14 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Recent posts

6 Sept 2026, 06:26 UTC41 viewsread 14 September 2026
Photo

标题:真事隐:康熙废储与正史虚构 [歷史人物] 简介: 康熙四十七年太子胤礽被废,引发十余年储位之争。雍正登基后亲自编纂康熙朝历史,给出官方说法,但质疑从未停止。本书利用尘封于罗马三百余年的传教士记录,结合清宫档案、官修实录、私人笔记等,还原被掩盖和篡改的历史细节,揭露雍正系统清理历史记载的证据,讲述储位之争的新故事,并深入揭示雍正操纵历史、掩埋真相的手法。

31 Aug 2026, 07:33 UTC55 viewsread 14 September 2026
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标题:从增长到增效 [经营管理] 简介: 中信集团在新发展阶段,将“开源节流、降本增效”深化为“协同、创新、科技、精益、共享”五维增效管理机制。本书通过典型案例,提炼中信路径与答案,为企业探索高质量发展提供实践参考与思想启发。

23 Aug 2026, 07:24 UTC54 viewsread 14 September 2026
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标题:天涯社区优质书籍 [作品合集] 简介: 天涯社区精选52本畅销佳作,涵盖历史、悬疑、情感等多元题材。内含揭秘上古之谜的《伏羲密码》,展现大唐兴衰的《拿得起放不下的大唐史》,以及洞察社会百态的《中国社会的一千个细节》等,助你提升阅读品味。

18 Aug 2026, 07:39 UTC41 viewsread 14 September 2026
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标题:村子 [外國文學] 简介: 《村子》是威廉·福克纳“斯诺普斯三部曲”的首部作品,以法国人湾乡村为背景,讲述了北方资本家弗莱姆·斯诺普斯如何通过欺诈手段征服南方文化代表的村子,并最终进军杰弗生镇的故事。小说风格简洁明快,是福克纳后期的重要作品。

12 Aug 2026, 13:00 UTC34 viewsread 14 September 2026
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标题:余秋雨作品全集(共69册) [小说文学] 简介: 余秋雨的散文以独特的视角,将读者带入历史文化长河,引发哲思与情致。作品涵盖《文化苦旅》《千年一叹》等,融合了审美、史学和文化价值。他曾辞去职务,深入探访中华及世界文明遗迹,对当代文明有深刻见解,其作品广受好评。

6 Aug 2026, 08:16 UTC28 viewsread 14 September 2026
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标题:查拉圖斯特拉如是說 [哲學宗教] 简介: 本书是尼采最具震撼力的代表作《查拉图斯特拉如是说》,以诗性语言探讨自由、意志与自我超越。本版特别收录俄罗斯艺术家莉娜·哈迪斯的全套插画,将深奥哲理视觉化,并采用钱春绮权威译文及五万字深度注释,为读者提供三重共振的阅读体验。

1 Aug 2026, 09:06 UTC32 viewsread 14 September 2026
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标题:我们中的我 [人文社科] [pdf+全格式] 简介: 阿克塞尔•霍耐特是德国著名社会理论家、法兰克福学派第三代旗帜性人物,他所开创的承认理论完成了批判理论的“政治—伦理转向”,产生了无可替代的影响。在本书中,霍耐特通过重构黑格尔“为承认而斗争”这一早期思想,提出了一种基于承认的正义理论,并结合具体的社会情境来探讨社会化与个体化、社会再生产与个体认同机制之间的关联,以及承认的心理基础,展现出了承认理论与社会学、政治哲学,以及精神分析等诸多学科的当代相关性。阿克塞尔•霍耐特的新书《我们中的我》极具原创性,也很重要。

28 Jul 2026, 13:25 UTC29 viewsread 14 September 2026
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标题:讓自己快樂 [励志成功] 简介: 面对焦虑、抑郁等情绪困扰,本书通过理情行为治疗法(REBT),帮助读者识别并改变非理性信念,提供实用技巧,提升快乐与自我接纳能力,让生活更轻松。

26 Jul 2026, 05:50 UTC24 viewsread 14 September 2026
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标题:解密人像摄影全流程 [学习教育] 简介: 本书为摄影爱好者提供人像拍摄的实用指南,涵盖器材准备、用光、构图、色彩等关键技术,以及常见主题的实拍技巧。通过多位摄影专家和达人的精美照片与经验分享,帮助读者快速提升人像摄影水平,兼具实用性与观赏性。

21 Jul 2026, 09:25 UTC24 viewsread 14 September 2026
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标题:宋朝的祛魅 [历史传记] 简介: 本书多角度解读宋朝历史文化,聚焦政治、经济、思想,并以“文本与书写”方法重构传统叙事,祛除理想化描绘,揭示历史记忆与现实的复杂联系。旨在为理解宋朝地位与贡献提供新视角,启发客观评价历史。

Showing the 12 most recent of 20 posts we hold for @baimabaoyang188. 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.

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.

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 14 September 2026 — this entry's latest reading, not the date you are reading this.

“白马苞养” (@baimabaoyang188), 9 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/baimabaoyang188.

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.