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Telegram profile photo for 富豪享受生活【电视剧】

Channel

富豪享受生活【电视剧】

@fuhao35700

Has discussion group

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

9,107subscribers

+5,798 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004383089794
TypeChannel
Username@fuhao35700
Description免费【电视剧】📺 投稿人 @aix3544 新闻 @bofu65
CreatedBetween 1 June 2026 and 7 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live3 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/fuhao35700

Topic

Film & TV — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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

3,3099,1856,2477 August 2026 — 3,309 subscribers8 August 2026 — 3,313 subscribers11 August 2026 — 3,327 subscribers15 August 2026 — 3,379 subscribers18 August 2026 — 3,436 subscribers21 August 2026 — 3,472 subscribers24 August 2026 — 3,496 subscribers27 August 2026 — 3,527 subscribers31 August 2026 — 3,534 subscribers3 September 2026 — 3,543 subscribers7 September 2026 — 3,543 subscribers9 September 2026 — 3,797 subscribers13 September 2026 — 3,878 subscribers17 September 2026 — 4,090 subscribers26 September 2026 — 4,639 subscribers5 October 2026 — 4,595 subscribers12 October 2026 — 4,185 subscribers15 October 2026 — 4,064 subscribers18 October 2026 — 3,880 subscribers21 October 2026 — 3,748 subscribers25 October 2026 — 3,545 subscribers27 October 2026 — 6,795 subscribers31 October 2026 — 9,185 subscribers3 November 2026 — 9,107 subscribers9,1077 August 20263 November 2026
24 measurements spanning 88 days, net +5,798. 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 2,428–10,066 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
3 Nov 2026, 08:589,107-78
31 Oct 2026, 05:369,185+2,390
27 Oct 2026, 22:276,795+3,250
25 Oct 2026, 00:503,545-203
21 Oct 2026, 23:563,748-132
18 Oct 2026, 16:093,880-184
15 Oct 2026, 18:104,064-121
12 Oct 2026, 11:164,185-410
5 Oct 2026, 08:544,595-44
26 Sept 2026, 18:024,639+549
17 Sept 2026, 11:184,090+212
13 Sept 2026, 10:223,878+81
9 Sept 2026, 04:363,797+254
7 Sept 2026, 23:383,543no change
3 Sept 2026, 11:563,543+9
31 Aug 2026, 05:393,534+7
27 Aug 2026, 18:533,527+31
24 Aug 2026, 18:393,496+24
21 Aug 2026, 02:353,472+36
18 Aug 2026, 01:513,436first reading

Engagement

30 posts held, back to 3 November 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 4 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.499%
avg views ÷ 9,107 subscribers
Avg views / post
45.4
30 posts measured
Reaction rate
1.67%
reactions ÷ views · ER floor
Posts in window
30
of 30 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 1 of 30 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 4 November 2026
Posts held30 (3 November 2026 – 4 November 2026)
Views total1,362
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 21:32 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
≈952
Videos
≈2,490
Links
≈524

Lifetime counters from Telegram’s own channel header, read 4 November 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.

Video runtime
32h 54m
Average length
1h 10m

Measured directly from 28 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

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 30 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 30 most recent posts we hold, published 3 November 2026 to 4 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 30 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).

4 Nov 2026, 16:56 UTC16 viewsread 4 November 2026
Photo

TG必备搜索引擎,新必搜🔍@xbso @xbso 轻松帮您找到有趣的群、频道、视频、音乐、电影、新闻。 👇👇点击下方按钮,快速搜索👇👇

4 Nov 2026, 05:47 UTC73 viewsread 4 November 2026
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◎片  名 水晶人 ◎年  代 1983 ◎产  地 中国香港 ◎类  别 动作/恐怖/悬疑 ◎语  言 汉语普通话 ◎片  长 77 Mins ◎导  演 华山 ◎主  演 余慕莲       钟荣       刘玉璞 ◎简  介   本片改编自著名武侠小说家黄鹰的同名小说,由华山于1983年执导。故事讲述龙飞(白彪 饰)精心雕琢的水晶美人像忽然失踪后,多名黑道高手离奇被杀,江湖传言乃水晶人变成精灵杀人之所为。龙飞经过连番追踪后,终发现水晶人(刘玉璞 饰)乃日后(陈思佳 饰)训练之杀手。水晶人揭发江湖厮杀之真正幕后人,实为伪装王爷的天帝(王戎 饰)……

4 Nov 2026, 05:47 UTC71 viewsread 4 November 2026
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◎片  名 幽冥花开 ◎年  代 2025 ◎产  地 中国大陆 ◎类  别 恐怖/惊悚/悬疑 ◎片  长 92 Mins ◎导  演 董飞 ◎主  演 李抒航       周浩东       苗清 ◎简  介   1917年,袁世凯称帝,蔡锷将军发起护国运动。爱国青年郑少卿留洋归来,却发现全家惨遭杀害。经多方调查,此事与大军阀马大帅有关。郑少卿遂伺机混入大帅府追查真相,却与大帅之女马盈盈暗生情愫。大婚之夜,亡妻红衣回魂、血咒索命;婚后府中怪事频发,数人接连离奇丧命。这一切究竟是冤魂复仇还是人心作祟?那隐匿于幕后的真凶,究竟是谁?

4 Nov 2026, 05:46 UTC57 viewsread 4 November 2026
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◎片  名 血滴子 ◎年  代 1975 ◎产  地 中国香港 ◎类  别 动作/武侠/古装 ◎语  言 汉语普通话 ◎片  长 105 Mins ◎导  演 何梦华 ◎主  演 陈观泰       谷峰       艾蒂       江玲 ◎简  介   故事发生在清朝雍正年间,民间能人志士对雍正(江洋 饰)的暴政口诛笔伐,为了肃清这些反对的声音,雍正大兴文字狱,凡有忤逆者,皆满门抄斩。与此同时,雍正集结了一支护卫队,使用残酷的处刑器具血滴子,杀尽天下胆敢说出真话之人。

4 Nov 2026, 05:33 UTC56 viewsread 4 November 2026
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《#回家》电影 高清 评分5.6 美国2009年惊悚剧情片,是一部小成本高回报的密闭空间惊悚作品。 主演: 米莎·巴顿 / 马特·朗 / 杰西卡·斯特普 / 迈克尔·兰德斯 / Allen Williamson / 更多... 类型: 剧情 / 惊悚 制片国家/地区: 美国 语言: 英语 又名:回乡之旅 上映日期: 2009-07-17 介绍:《回家》讲述的是:来自宾夕法尼亚州的橄榄球明星球员麦克,带着现任女友伊丽莎白在圣诞前夕回到家乡,参加高中校友返校聚会。麦克的前女友希尔比,这位曾经的高中拉拉队队长,多年来一直对麦克念念不忘,渴望和他复合。在夜店狂欢结束后,独自前往旅店的伊丽莎白在路上遭遇车祸,肇事的希尔比慌乱中将她带回自己家中治疗,随后彻底暴露了偏执本性,将伊丽莎白囚禁在屋内,试图彻底抹除她的存在,把麦克重新夺回自己身边。

4 Nov 2026, 05:32 UTC60 views1 reactionsread 4 November 2026
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《#我看见两朵一样的云》电影 高清 评分5.6 2026年科幻爱情电影, 主演: 王源 / 文淇 / 温茉言 / 闫楠 / 张颂文 / 更多... 类型: 爱情 / 科幻 制片国家/地区: 中国大陆 语言: 汉语普通话 上映日期: 2026-06-19 介绍:《我看见两朵一样的云》讲述的是:阿志(王源 饰)始终坚信自己活在虚拟程序世界里,是其中唯一的真人,他整日执着地记录生活里的各类“系统BUG”,寻找逃离这个虚假世界的证据。直到古灵精怪的女孩小一(文淇 饰)出现,他第一次对“逃离”产生了犹豫,不愿独自把小一留在这个世界。两人在虚实交错的世界里相遇同行,在彼此的陪伴中,重新确认了爱与真实的意义。

❤1

4 Nov 2026, 05:32 UTC48 viewsread 4 November 2026
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◎片  名 花漾少女杀人事件 ◎年  代 2025 ◎产  地 中国大陆 ◎类  别 悬疑/剧情 ◎语  言 汉语普通话 ◎片  长 108 Mins ◎导  演 周璟豪 ◎主  演 张子枫       丁湘源       马伊琍 ◎简  介   单亲家庭下长大的江宁(张子枫 饰)正为职业生涯的最后机会拼命训练,不料天才对手钟灵(丁湘源 饰)的横空出世,夺走了母亲/教练王霜(马伊琍 饰)的青睐,三人的关系开始变得扑朔迷离,一场“杀人”的致命意外正悄然上演……

4 Nov 2026, 05:32 UTC46 viewsread 4 November 2026
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◎片  名 卖命小子 ◎年  代 1979 ◎产  地 中国香港 ◎类  别 动作/剧情/武侠 ◎语  言 汉语普通话 ◎片  长 82 Mins ◎导  演 张彻 ◎主  演 鹿峰       罗莽       江生 ◎简  介   本片由张彻导演,倪匡编剧,鹿峰、罗莽、孙建、江生及郭追领衔主演,拍于1979年功夫片高峰期。故事讲述武林世家子弟袁鹰飞(鹿峰饰),表面上是仁至义尽的江湖侠士,实则是工于心计的奸险人物。他利用何非(江生 饰)、冯加金(孙建 饰)、曾樵(王力 饰)及杨追风(郭追饰)等失意江湖的高手,对付虎威镖局少镖头关云(罗莽 饰);岂料何非等四人与关云不打不相识,反成好友……

4 Nov 2026, 05:31 UTC45 viewsread 4 November 2026
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4 Nov 2026, 05:31 UTC46 viewsread 4 November 2026
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4 Nov 2026, 05:31 UTC47 viewsread 4 November 2026
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《#暗黑之地》电影 高清 评分6.1 2015年上映的法美合拍悬疑惊悚片, 主演: 科洛·葛蕾丝·莫瑞兹 / 查理兹·塞隆 / 克里斯蒂娜·亨德里克斯 / 尼古拉斯·霍尔特 / 寇瑞·斯托尔 / 更多... 类型: 剧情 / 悬疑 / 惊悚 制片国家/地区: 法国 语言: 英语 上映日期: 2015-04-08 介绍:《暗黑之地》讲述的是:7岁的利比在灭门惨案中幸存,当庭指认哥哥本是杀害母亲和两个姐姐的凶手,本因此入狱。25年后,靠社会捐款长大的利比生活困顿,被地下“谋杀俱乐部”的成员莱尔找到,对方告知她当年的案件另有隐情。利比为了酬金重新回溯尘封的记忆,一步步挖掘出当年骗保、误杀交织的全部真相,最终为蒙冤多年的哥哥洗刷了罪名

3 Nov 2026, 17:01 UTC30 viewsread 3 November 2026
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Showing the 12 most recent of 30 posts we hold for @fuhao35700. 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

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

“富豪享受生活【电视剧】” (@fuhao35700), 9,107 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/fuhao35700.

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.