Telegram RegisterThe public register of Telegram

Channel

夸克网盘资源俱乐部

@kkdj001

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

6,099subscribers

+60 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002463131146
TypeChannel
Username@kkdj001
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/kkdj001

Growth

6,0386,0996,068.56 August 2026 — 6,039 subscribers6 August 2026 — 6,039 subscribers7 August 2026 — 6,038 subscribers10 August 2026 — 6,070 subscribers13 August 2026 — 6,099 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +60. 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 6,029–6,108 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 11:246,099+29
10 Aug 2026, 04:236,070+32
7 Aug 2026, 03:586,038-1
6 Aug 2026, 18:006,039no change
6 Aug 2026, 17:496,039first reading

Engagement

15 posts held, back to 4 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.9%
avg views ÷ 6,099 subscribers
Avg views / post
1,400
7 posts measured
Reaction rate
0.048%
reactions ÷ views · ER floor
Posts in window
7
of 15 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 7 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 11 August 2026
Posts held15 (4 July 202611 August 2026)
Views total9,769
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:42 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

Video runtime
10m 18s
Average length
2m 04s

Measured directly from 5 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

5 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5100.0%

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 6 of the 15 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 4 July 2026 to 11 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.

Recent posts

11 Aug 2026, 12:04 UTC146 viewsread 12 August 2026

#互推 #推广 ▣ 專推大奶大姐姐的本子! ▣ asmr中文站 ▣ 马赛克审查媚黑bbc男娘beta资源 ▣ 精品本子|漫画 ▣ 推特福利姬个人资源分享 加入互推 >> @ExposureMarketBot << 广告投放

9 Aug 2026, 04:03 UTC587 viewsread 12 August 2026

#频道互推 #群组推荐 来一点医学科学前沿 QQ资源岛软件 Fang的资源分享群 轻小说图书馆 深度 好文 (付费文章共享) 安卓破解软件大全 AI绘画|AI视频 | AI音乐 全能搜书·福利书库 热门短剧每日分享 电报频道&群组索引

8 Aug 2026, 12:04 UTC666 viewsread 12 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7782367219

2 Aug 2026, 04:01 UTC≈1,560 viewsread 12 August 2026

#频道互推 #群组推荐 DLsite Steam黄油下载 二次元轻小说书屋 枫叶の破解软件分享 万象拾珍|全网资源合集 纵享丝滑(丝袜精选) 国产电视剧频道(每日更新) 精选壁纸美图|风景美人acg 拾用AI 多网盘影视资源分享 电报频道&群组索引

30 Jul 2026, 11:00 UTC≈2,090 views1 reactionsread 12 August 2026

#互推 【书籍小说】万卷书屋/小说推荐/禁忌书屋 【网络分享】书墨资源 【科技热点】APPDO的互联网记忆 【资源分享】浅秋分享社 | 破解软件 |游戏分享 【影视分享】115影视资源分享频道 【医学期刊】来一点医学科学前沿🤯🤯🥹🥹 【炒币资讯】币圈快讯 【资源分享】小声逼逼 【影视分享】夸克网盘资源俱乐部 Powered by @Summer_Clear_Sky_Bot

1

26 Jul 2026, 04:04 UTC≈2,480 viewsread 12 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7782367219

26 Jul 2026, 04:04 UTC≈2,240 viewsread 12 August 2026

#频道互推 #群组推荐 资源杂货铺(资源,机场) 影视直播app分享 免费高速订阅节点 瓦工大妈vps补货监控 优质-破解软件-分享基地 趣味播报 电报频道&群组索引

12 Jul 2026, 11:00 UTC≈4,230 viewsread 12 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7782367219

12 Jul 2026, 11:00 UTC≈3,760 views0 reactionsread 12 August 2026

#互推 【音声&涩涩】永不消逝的音声 【书籍分享】电子书资源分享 📚 【苹果限免】 App Store 限免应用 & ... 【软件分享】TK集库 【网络分享】互联网研习社(破解软件/游戏 | 实测) 【软件分享】大聪明 破解软件分享频道 【影视分享】夸克网盘资源俱乐部 【书籍小说】万卷书屋/小说推荐/禁忌书屋 【心声树洞】赛博忏悔室 Powered by @Summer_Clear_Sky_Bot

11 Jul 2026, 21:26 UTC≈3,380 views1 reactionsread 12 August 2026
Forwarded from @bqjlb1Photo

四年币圈聚合群 80+付费博主机器人实时转发 头部实盘博主追踪 kingfisher爆仓图+exochart盘口图 机器人实时转发,电报+飞书 +discord3平台转发 💰图片为kol介绍和价格介绍 35u月 188u半年 288u年费528u永久 📈支持返佣进群,交易量达标免群费 ✈️头部KOL 资讯搬运群 ,机器人实时转发,电报+飞书+dc 3平台转发 🎮discord可试用2小时 https://discord.gg/KKFfUXWpfP ✈️电报私信 https://t.me/DBTB_1

1

4 Jul 2026, 08:52 UTC≈4,600 views1 reactionsread 12 August 2026
Photo

【30 集超清完整版】《老板,这个王爷的命多少钱一斤》AI短剧 现代金牌杀手柳惊鸿意外穿越成大邺朝柳家庶女,绑定"续命系统",任务竟是给传闻中活不过三个月的战神王爷萧也续命。她手持匕首闯入王府,开口就问:"老板,这个王爷的命多少钱一斤?" 从此开启啼笑皆非的续命之旅。她用现代知识研制特效药、用杀手技能护他周全,高冷王爷从抗拒到依赖,二人在朝堂权谋与江湖恩怨中互相救赎,从契约关系变为双向奔赴,甜蜜互动与搞笑日常齐飞,复仇爽感与宠妻力度拉满,全集无删减超清资源,夸克网盘速存! 🔗夸克网盘链接:https://pan.quark.cn/s/c018feaf0d87 #古装穿越甜宠短剧 #杀手王妃续命爽剧 #夸克网盘 强烈推荐币圈大佬查看置顶

1

4 Jul 2026, 08:51 UTC≈4,030 viewsread 12 August 2026
Photo

【26 集超清完整版】《江湖全是前男友》AI短剧 江湖女侠沈清欢武功高强却情路坎坷,闯荡江湖处处撞见前男友:盟主顾清风、杀手厉千行、神医苏白衣、铁手捕头,一天集齐四位前任修罗场不断。她想和真命天子归隐,前任们却集体讨债,撒娇卖萌威胁利诱花式纠缠。一边应对江湖危机,一边化解前任们的爱恨纠葛,啼笑皆非的日常中暗藏深情,轻松搞笑又甜宠不断,全集无删减超清资源,夸克网盘速存! 🔗夸克网盘链接:https://pan.quark.cn/s/c4f05dc6880e #古风搞笑甜宠短剧 #江湖前任修罗场短剧 #夸克网盘 强烈推荐币圈大佬查看置顶

Showing the 12 most recent of 15 posts we hold for @kkdj001. 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 — 1,008,657 of 1,345,403entries 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 2 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.

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

“夸克网盘资源俱乐部” (@kkdj001), 6,099 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/kkdj001.

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.