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Channel

百度关键词排名 谷歌新闻 美国MSB牌照

@zijinpanbz8

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

8subscribers

+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-1001590009331
TypeChannel
Username@zijinpanbz8
Description百度关键词排名 谷歌新闻 美国MSB牌照 我们是华人最大的娱乐联盟社区
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 September 2026
Last confirmed live17 September 2026
Measurements held2
On Telegramt.me/zijinpanbz8

Growth

86 September 2026 — 8 subscribers14 September 2026 — 8 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 7–9 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Sept 2026, 20:238no change
6 Sept 2026, 21:478first reading

Engagement

20 posts held, back to 13 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
431.3%
avg views ÷ 8 subscribers
Avg views / post
34.5
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 (13 June 20266 September 2026)
Views total69
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Sept 2026, 20:23 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
47

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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 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 1 reactions 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 13 June 2026 to 6 September 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

6 Sept 2026, 06:30 UTC30 viewsread 14 September 2026
Photo

标题:白色市场:美国商业麻醉品问题纪实 [历史人物] 简介: 本书系统回顾了美国一个多世纪以来对成瘾药物的控制史,指出政府管控受制药企业、精英医生、消费者权益者等利益群体影响,同时囿于种族与阶级偏见,分裂的管理体系引发周期性公共卫生危机。以时间顺序梳理合法白色市场的发展,揭示出核心问题:美国政府关于成瘾药物控制的基本观念本身,才是导致市场失控、保护失效的根本原因。

31 Aug 2026, 07:40 UTC39 viewsread 14 September 2026
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标题:穿过森林的男孩 [小说文学] 简介: 十四岁男孩崔佛随父亲回到祖宅,期待父母复合。然而,他发现家族深藏着伤痛与秘密,更被家族禁忌之恋的主角本吸引。层层探索下,他揭开家族的破碎过往,以及与古老森林相关的宿命。这是关于成长、爱与救赎的故事,一次唤醒希望的旅程。

23 Aug 2026, 07:20 UTC52 viewsread 14 September 2026
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标题:美食的奇妙冷知识 [人文社科] 简介: 食物为何香臭颠倒?辣味如何让人上瘾?方便面为何弯曲?南北饮食差异源何?筷子如何诞生?古人为何抢食“闭门羹”?为何要控糖?这本美食漫画集,从历史、生物、安全等多角度,以生动漫画和幽默文字,揭秘食物趣味冷知识,带你成为有文化的吃货,乐趣无穷,知识满溢!

18 Aug 2026, 07:41 UTC54 viewsread 14 September 2026
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标题:父母不掃興,孩子更自信 [教輔用書] 简介: 本书聚焦14大高频亲子场景,提供300余句精准沟通对话模板,帮助家长将日常唠叨转化为赋能型沟通。通过“情境-策略-沟通模板”三维体系,教家长用游戏化思维化解冲突,用共情力搭建信任,唤醒孩子内在动力,做不扫兴的父母。

12 Aug 2026, 12:56 UTC57 viewsread 14 September 2026
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标题:绝版开悟书籍合集 [人文社科] 简介: 本书汇集了多本早已绝迹的“觉醒之书”,以洗练的文字直指人心,引导读者进行反观内照,亲见本真。这份失而复得的精神礼物,是为真诚探寻者精心准备的。

6 Aug 2026, 08:12 UTC64 viewsread 14 September 2026
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标题:文明論 [歷史人物] 简介: 本书以重建中华文明理论为宗旨,提出以道德、知识、礼仪为核心的“三要三本”体系,强调文德与天文观。通过解析经典,论证中华文明至少八千年历史,为文明探源提供新范式,对中国式现代化建设具有现实意义。

1 Aug 2026, 08:57 UTC60 viewsread 14 September 2026
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标题:此生永远是少年:白居易诗传 [历史传记] [pdf+全格式] 简介: 本书通过解读白居易流传千古的诗歌,还原了这位伟大的现实主义诗人丰富多彩、跌宕起伏的一生,展现了他耿直、高洁的品性和乐天知命的人生态度,引领读者走入诗人的内心世界,感悟他的人格品性、理想抱负和文学成就。作者文笔优美,融文学性、艺术性于一体,展现了一幅中唐时期的社会历史画卷。

28 Jul 2026, 13:27 UTC50 viewsread 14 September 2026
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标题:文明的“双相”:灾害与历史的缠绕 [历史传记] 简介: 本书从灾害史与生态史视角,探讨灾害对中国历史进程的影响,涵盖重大自然灾害、生态环境变迁、历代救灾制度等。通过分析河南大饥荒、唐山大地震、武汉洪水等事件,透视中国历史与社会发展,并在新冠疫情背景下,提出对文明与人类发展的思考。

26 Jul 2026, 05:47 UTC40 viewsread 14 September 2026
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标题:沙丘学派三部曲(姐妹会+领航员+门泰特 ) [大合集] 简介: 《沙丘》学派三部曲延续经典,揭示沙丘宇宙的起源。思维机器败退后,人类陷入内斗,帝国在宗教狂热与理性间摇摆。圣母姐妹会崛起,点燃育种计划,预示新篇章的开启。

21 Jul 2026, 09:26 UTC41 viewsread 14 September 2026
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标题:文学的读法 [小说文学] 简介: 本书深入浅出地探讨了文学的精髓,教你如何通过分析语气、节奏、句法、典故等文学形式,以及人物、情节、想象力等更广泛的议题,来丰富阅读体验。作者以权威且富有趣味的视角,评论了古典、浪漫、现代及后现代主义,并对莎士比亚、奥斯汀等众多作家进行了独到解读,是文学爱好者的必读之作。

17 Jul 2026, 06:45 UTC43 viewsread 14 September 2026
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标题:怎样做成大事 [经营管理] 简介: 探索项目管理规律:剖析悉尼歌剧院、苹果iPod等知名案例,揭示99.5%项目失败的“大型项目铁律”——预算超支、时间超期、效益不足。研究发现,0.5%的成功项目遵循“慢思考,快行动”、“组建完美团队”等11个启发式,是成事关键。

14 Jul 2026, 06:24 UTC41 viewsread 14 September 2026
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标题:替补:哈里王子自传 [历史传记] 简介: 《替补:哈里王子自传》以坦诚笔触,记录了王子从王室到平凡人生的艰难成长、情感纠葛与自我救赎。书写了戴安娜王妃离世的伤痛,直面与家人的复杂关系,并讲述了为爱挑战王室传统的决定。这部打破非虚构图书销售纪录的作品,深刻探讨了原生家庭、责任与成长的普适主题。

Showing the 12 most recent of 20 posts we hold for @zijinpanbz8. 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.

“百度关键词排名 谷歌新闻 美国MSB牌照” (@zijinpanbz8), 8 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/zijinpanbz8.

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.