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Channel

UC云盘-云盘盘频道

@uc_yppan

On this record: Growth · Engagement · Posts · Citations · Cite this entry

394subscribers

+2 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002961870364
TypeChannel
Username@uc_yppan
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/uc_yppan

Growth

3923943936 August 2026 — 392 subscribers6 August 2026 — 392 subscribers7 August 2026 — 393 subscribers14 August 2026 — 394 subscribers6 August 202614 August 2026
4 measurements spanning 9 days, net +2. 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 392–394 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:53394+1
7 Aug 2026, 00:06393+1
6 Aug 2026, 20:04392no change
6 Aug 2026, 04:16392first reading

Engagement

20 posts held, back to 6 August 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.799%
avg views ÷ 394 subscribers
Avg views / post
3.1
20 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
20
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 August 2026
Posts held20 (6 August 20266 August 2026)
Views total63
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 20:04 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.

Recent posts

6 Aug 2026, 16:23 UTC3 viewsread 6 August 2026
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最新Ai擦边短剧:飞往洛杉矶的航班&刺激的航班&羞耻游戏&飞上蓝天&十八岁的天空(完整版) 描述:喜欢就存 每日更新 | 2026年8月7日抖音快手红果新剧已送达! 每天同步更新全网最新短剧,频友第一时间看新剧! 链接:点击获取夸克链接 点击获取百度链接 点击获取UC链接 点击获取迅雷链接 点击获取阿里云盘链接 📁 大小:N 🏷 标签:#短剧 #最新短剧 #合集 #擦边短剧 #短剧榜 #Ai短剧 #成人短剧 频道|投稿|合作

6 Aug 2026, 16:15 UTC4 viewsread 6 August 2026
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动画:燃比娃 (2025)第38届中国电影金鸡奖提名名单 剧情:影片故事源自羌族神话,讲述了一只被人类抚养长大的猴子,追寻母亲阿勿巴吉(周迅 配音)的足迹,踏上神山探寻“温暖”之谜的旅程。他在“恐惧之兽”口中夺取火种,烈焰焚身,褪去毛发,涅槃成人。 链接:点击获取夸克链接 点击获取百度链接 点击获取UC链接 点击获取迅雷链接 点击获取阿里云盘链接 📁 大小:N 🏷 标签:#电影 #动画 #燃比娃 频道|投稿|合作

6 Aug 2026, 16:02 UTC1 viewsread 6 August 2026
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名称:2026年8月6日 短剧更新目录10 描述: 1.一别数载姐姐护迎殿主回归(106集)孙航&李明蔚 2.心语昭昭予君安(60集) 3.向阳而生,温暖如初(55集)张乙萌&刘承林 4.我在县城搞基建:从烂尾楼到高铁(40集)AI短剧 5.一梦青玄,团宠小师妹爽爆了(78集) 6.山河远阔,家有归人(50集) 7.情绪主宰:我靠反转人生封神(78集)罗豪宇&陈昕乔 8.落魄的他逆天崛起(58集)王国豪杰&诗语&梁辰羽 9.都当我是剑修,我反手炼丹救全宗(70集) 10.帝心惟卿:深宫定乾坤(93集)AI短剧 11.穿越兽世,独宠一人(60集) 12.冰糖不做状元妻(40集) 13.八零姐妹花致富路上捡个他(82集)李蕴薇&马若璇 链接:点击获取夸克链接 点击获取百度链接 点击获取UC链接 点击获取迅雷链接 📁 大小:N 🏷 标签:#短剧 #最新短剧 #合集 #擦边短剧 #短剧榜 #Ai短剧 #动漫短剧 频道|投稿|合作

6 Aug 2026, 15:16 UTC3 viewsread 6 August 2026
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名称:江海潮生 (2026) 更至24集 [4K][近代/传记][何冰/杨立新] 描述:本剧讲述了状元实业家张謇创办大生企业,实业报国的故事。但张謇生逢近代乱世,壮志难酬,大生事业走向衰落,其积劳成疾,抱憾而终。 夸克:点击获取夸克链接 百度:点击获取百度链接 迅雷:点击获取迅雷链接 UC:点击获取UC链接 📁 大小:NG 🏷 标签:#江海潮生 #剧集 频道|投稿|合作

6 Aug 2026, 15:14 UTC4 viewsread 6 August 2026
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名称:兵自风中来 (2026) 更至36集完结 [4K][军旅][欧豪/蓝盈莹/刘奕君/侯勇/李幼斌] 描述:讲述了在一次小型军事演习中,郭子剑假传指令要求真打实抗,虽引发哗然,却获赏识调任396旅一营营长,但在一次对抗中由于失误,导致战友受伤及上级被俘。在经历处分、转业申请等波折后,他重归部队,转型创新,最终在实战化检验中大放异彩,逆风翻盘。 夸克:点击获取夸克链接 百度:点击获取百度链接 迅雷:点击获取迅雷链接 UC:点击获取UC链接 📁 大小:NG 🏷 标签:#兵自风中来 #剧集 频道|投稿|合作

6 Aug 2026, 15:11 UTC3 viewsread 6 August 2026
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名称:这一秒过火 (2026) 全33集完结 [4K][乱世爱情][张凌赫/王楚然] 描述:讲述了乱世浮沉中,慕容清峄与任素素因一场相救结下命运牵绊。从身世错位到家族恩怨,从痛心离别到重逢痴缠,两人在爱恨纠葛的反复拉扯中并肩踏入危局,共赴这场极情绝爱的恨爽复仇民国大戏。 夸克:点击获取夸克链接 百度:点击获取百度链接 迅雷:点击获取迅雷链接 UC:点击获取UC链接 📁 大小:NG 🏷 标签:#这一秒过火 #剧集 频道|投稿|合作

6 Aug 2026, 15:08 UTC1 viewsread 6 August 2026
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名称:天才,女友 (2026) 更至14集 [4K][当代爱情][胡一天/田曦薇] 描述:根据素光同同名小说改编。江逾白长大以后,林知夏忽然对他说:“江逾白,我喜欢你,哲学和生物学意义上的喜欢。”那个夜晚,他脸颊微热,还听见自己加速的心跳声…… 夸克:点击获取夸克链接 百度:点击获取百度链接 迅雷:点击获取迅雷链接 UC:点击获取UC链接 📁 大小:NG 🏷 标签:#天才,女友 #剧集 频道|投稿|合作

6 Aug 2026, 15:00 UTC1 viewsread 6 August 2026
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名称:人鱼 (2026) 更至07集 [4K][悬疑][董勇/刘孜/张开泰] 描述:改编自雷米同名小说,讲述20世纪90年代,花季女生苏琳意外坠入地下管道引发失踪案,其命运与“三具女尸案”的侦破紧密交织,退休民警顾浩与同校女生姜庭在搜寻中揭开多个家庭命运交织的真相。 夸克:点击获取夸克链接 百度:点击获取百度链接 迅雷:点击获取迅雷链接 UC:点击获取UC链接 📁 大小:NG 🏷 标签:#人鱼 #剧集 频道|投稿|合作

6 Aug 2026, 14:54 UTC1 viewsread 6 August 2026
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电影:民间奇案录 (2026) 剧情:患有妄想症的警察张天盛遇上一起离奇的神像杀人事件,勘案过程中,牵引出“婴胎报仇”,“娘娘索命”等一连串妖异事件,张天盛虽被种种诡怪幻象阻碍,却坚信这是藏在迷信后的人为诡计,勇于向封建传统宣战,敢于破除流传已久的迷信糟粕,最终,在战胜妄想症的同时,成功还原真相,伸张正义。 链接:点击获取夸克链接 点击获取百度链接 点击获取UC链接 点击获取迅雷链接 点击获取阿里云盘链接 📁 大小:N 🏷 标签:#电影 #民间奇案录 频道|投稿|合作

6 Aug 2026, 14:52 UTC1 viewsread 6 August 2026
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名称:九门 (2026) 更至16集 [4K][奇幻冒险][陈伟霆/陈瑶/曾舜晞] 描述:长沙风云再起之时,张启山(陈伟霆 饰)与吴老狗(曾舜晞 饰)强强联手,携手霍仙姑(陈瑶 饰)与九门诸人共赴冒险奇局。九门众人用热血和牺牲,守护家园,共渡难关。 夸克:点击获取夸克链接 百度:点击获取百度链接 迅雷:点击获取迅雷链接 UC:点击获取UC链接 📁 大小:NG 🏷 标签:#九门 #剧集 频道|投稿|合作

6 Aug 2026, 14:39 UTC2 viewsread 6 August 2026
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名称:御廷谣 (2026) 更至19集 [4K/1080][古装爱情][陈哲远/吴谨言] 描述:改编自行烟烟的小说《江山为聘》,讲述市井孤女孟廷辉(吴谨言 饰)凭借才学成为大宁首位三元及第女状元并入主察闻院,与少年帝王英寡(陈哲远 饰)在朝堂以雷霆手段制衡两相、在市井化身执剑人惩奸除恶,双强联手于朝堂与市井间掀起“扫黑风暴”的故事。 夸克:点击获取夸克链接 百度:点击获取百度链接 迅雷:点击获取迅雷链接 UC:点击获取UC链接 📁 大小:NG 🏷 标签:#御廷谣 #剧集 频道|投稿|合作

6 Aug 2026, 14:28 UTC2 viewsread 6 August 2026
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名称:昭阳公主 (2026) 更至18集 [4K/1080][H265][中长剧][古装爱情][李宏毅/孔雪儿] 描述:改编自青帷在晋江文学城的小说《平阳公主》。 夸克:点击获取夸克链接 百度:点击获取百度链接 迅雷:点击获取迅雷链接 UC:点击获取UC链接 📁 大小:NG 🏷 标签:#昭阳公主 #剧集 频道|投稿|合作

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

Citation-graph rank — 88,819 of 1,480,688entries 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.

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.

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.

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

“UC云盘-云盘盘频道” (@uc_yppan), 394 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/uc_yppan.

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.