Telegram RegisterThe public register of Telegram

Channel

网盘资源分享

@JDbigdiscount

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry

2,774subscribers

+54 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001321768449
TypeChannel
Username@JDbigdiscount
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/JDbigdiscount

Topic

Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 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 why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@solidsexydoll/190613 Jul 2026, 00:05 UTC@JDbigdiscount/18914 · this entry13 Jul 2026, 00:05 UTC1.00under a minute
@solidsexydoll/190713 Jul 2026, 04:05 UTC@JDbigdiscount/18915 · this entry13 Jul 2026, 04:05 UTC1.00under a minute
@solidsexydoll/190814 Jul 2026, 00:05 UTC@JDbigdiscount/18916 · this entry14 Jul 2026, 00:05 UTC1.00under a minute
@solidsexydoll/190914 Jul 2026, 04:05 UTC@JDbigdiscount/18917 · this entry14 Jul 2026, 04:05 UTC1.00under a minute
@solidsexydoll/191015 Jul 2026, 00:05 UTC@JDbigdiscount/18918 · this entry15 Jul 2026, 00:05 UTC1.00under a minute
@solidsexydoll/191517 Jul 2026, 00:05 UTC@JDbigdiscount/18923 · this entry17 Jul 2026, 00:05 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@solidsexydoll17 (8/8 hand-verifiable sample passed)1.00under a minute@solidsexydoll (170)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 17 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 12 July 2026 to 4 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @solidsexydoll. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 6 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

2,7202,7742,7476 August 2026 — 2,720 subscribers6 August 2026 — 2,720 subscribers9 August 2026 — 2,731 subscribers12 August 2026 — 2,774 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +54. 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 2,712–2,782 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 13:562,774+43
9 Aug 2026, 03:522,731+11
6 Aug 2026, 05:182,720no change
6 Aug 2026, 02:182,720first reading

Engagement

20 posts held, back to 12 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.4%
avg views ÷ 2,774 subscribers
Avg views / post
400
15 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
15
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 4 August 2026
Posts held20 (12 July 20264 August 2026)
Views total5,997
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:13 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

4 Aug 2026, 00:41 UTC172 viewsread 7 August 2026

♥【热门短剧免费看】05月25日 付费+精选短剧合集 「01.淮南渡」(72集)黄帅帅&林君怡 「02.玄学真千金第二季」(76集)王嘉懋&朱茉颜 「03.我在大明开银行」(78集)千喆&王艺阳 「04.顾爷的掌心娇宠」(60集)熊云皓&徐小舒 「05.姐,他真是我姐夫」(76集)沉思&韩雨彤&时康 「5月25日Ai短剧+漫剧」 「06.念她:他惦记她很久了」(79集)李卓杨&曹赛亚 「07.一吻成婚霍总红眼求贴贴」(50集)王博&李媛菁 「08.野性难驯&野骨难驯」(62集)杨泽&曹赛亚 「09.凤鸣三生2:三凤弈」(68集)白珩威&黎晟萱 「10.八零改嫁,成了隔壁硬汉的掌心娇」(63集)闵杰&方思畅 「11.咸鱼王妃日日想和离」(60集)魏尊&陈辞 「12.陆家团宠:大佬她马甲遍地」(80集)杜珺&陈博政 「13.1997:我在东北开洗浴」(101集)高杨&刘因然 「14.出狱后,我带美女总裁

30 Jul 2026, 01:17 UTC383 viewsread 7 August 2026

名称:真人快打2 (2026) 4K HDR & Dv 外挂简英双语字幕 描述:过气好莱坞演员强尼·凯奇(卡尔·厄本 饰)被意外选中,加入一场决定地球命运的真人快打。吉塔娜(阿德莱恩·鲁道夫 饰)、刀锋索尼娅(杰西卡·麦克娜美 饰)、卡诺(约什·劳森 饰)、刘康(林路迪 饰)、贾克斯(麦卡德·布鲁克斯 饰)、尚宗(黄经汉 饰)、雷电(浅野忠信 饰)、避寒(乔·塔斯利姆 饰)、蝎子(真田广之 饰)等角色也将各显身手,开启血浆狂飙的格斗厮杀。 链接:https://pan.quark.cn/s/ea97afcedc19 📁 大小:20GB 🏷 标签:#真人快打 #动作 #奇幻 #冒险 名称:天才游戏 (2026) 4K 60帧 HDR 描述:穷途末路的天才少年刘全龙(彭昱畅 饰),被偏执富家公子陈伦(丁禹兮 饰)选中,被迫踏入一场为他量身打造的“换命游戏”。豪华别墅、名车名表、神秘女友全部备齐,在陈伦的精心打造下,刘全

24 Jul 2026, 10:04 UTC635 viewsread 7 August 2026

🔥「营救夜莺」[美国 动作 战争][流媒体正式版版][自压中英字幕][2026] 链接:https://pan.quark.cn/s/d420debfc16c 🔥「猛尸一家亲」[美国 生猛 恐怖][TC超清版][自压中英字幕][2026] 链接:https://pan.quark.cn/s/fd95982d2ae3 🔥「玩具总动员5」[美国 动画 冒险][流媒体正式版偷跑][英语中字][2026] 链接:https://pan.quark.cn/s/19171fada38b 🔥「鬼寺凶灵5」[泰国 生猛 恐怖][流媒体正式版版][自压泰语中字][2026][附前4部] 链接:https://pan.quark.cn/s/5e633f1eaf94 🔥「万米危机」[4K高码60帧][释小龙 伊科·乌艾斯][动作 犯罪][2026] 链接:https://pan.quark.cn/s/4104f68018a5 🔥「煞湖」[美国 生猛

24 Jul 2026, 09:52 UTC542 viewsread 7 August 2026

电影合集 - https://t.me/solidsexydoll/992 | 票选恐怖片TOP 100部 - https://pan.quark.cn/s/33dddc68ed57 软件工具网盘资源 - https://pan.quark.cn/s/b7b5510fe08a | 音乐网盘资源 - https://pan.quark.cn/s/afd0a22b514d 26年电影夸克网盘 - https://pan.quark.cn/s/11fc6d872422 | 上万副业资源分享 - https://www.qili68.cn

19 Jul 2026, 00:05 UTC677 viewsread 7 August 2026
Photo

名称:怒海争锋 (2003) 4K蓝光原盘REMUX DV&HDR 国英双语 内封简体+简英双语特效字幕TrueHD 7.1 描述:1805年,拿破仑在欧陆纵横,而海战方面,只有英国舰队可以与之匹敌。英军杰克船长与自己的军舰惊奇号受命拦截法方军舰地狱号进入南太平洋,两舰在巴西北海岸初次相遇,地狱号凭借优势火力与厚甲将惊奇号击败,杰... 链接:https://pan.quark.cn/s/a46a9577081e 📁 大小:52.85GB 🏷 标签:#怒海争锋 #冒险 #剧情 #战争

18 Jul 2026, 04:05 UTC564 viewsread 7 August 2026
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名称:谍网追凶 (2025) V2 HDR 杜比视界 国英双语 中英特字 国配特字 官译中字 描述:中央情报局密码专家Charlie Heller(拉米·马雷克 Rami Malek 饰)的妻子(瑞秋·布罗斯纳安 Rachel Brosnahan 饰)在伦敦一场恐怖袭击中丧生,他要求上司追捕凶手,但... 链接:https://pan.quark.cn/s/0c7e42d80419 📁 大小: 55.6GB 🏷 标签:#谍网追凶 #惊悚 #动作 #REMUX

18 Jul 2026, 00:05 UTC443 viewsread 7 August 2026
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名称:雷霆特攻队 (2025)V2 HDR 杜比视界 国英双语 中英特字 国配特字 官译中字 描述:在《雷霆特攻队》电影里,漫威组建了一支非常规的反英雄团队——叶莲娜·贝洛娃、巴基·巴恩斯、红色守卫者、幽灵、模仿大师和约翰·沃克。当他们发现自己陷入了瓦伦蒂娜·阿莱格拉·德拉方丹设置的死亡陷阱后,这... 链接:https://pan.quark.cn/s/f3efb2d52cf0 📁 大小:61.79GB 🏷 标签: #雷霆特攻队 #动作 #科幻 #冒险 #REMUX

17 Jul 2026, 04:05 UTC400 viewsread 7 August 2026
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名称:冥婚红包 (2025) 1080P 外挂简种字幕 资源描述:警察线人Menn(Billkin 饰)意外捡到一个神秘的红包,被迫和男鬼Titi(PP 饰)结婚,Menn为了让Titi不再纠缠自己并无憾离去,无所不用其极地帮助Titi解开死亡的真相,从此展开人鬼共处的爆笑日常。 链接:https://pan.quark.cn/s/1ca028b05268 🏷 标签:#冥婚红包 #喜剧 #恐怖 #奇幻

17 Jul 2026, 00:05 UTC334 viewsread 7 August 2026
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名称:我是证人 (2015) 4K 描述:路小星(杨幂 饰)是一位初出茅庐的见习女警,她的弟弟死于一场意外,而作为见证人的路小星则双目失明。尽管失去了视觉,但路小星的其他感官却因此而意外的活跃起来,即便生活在黑暗之中,路小星却依旧能够敏感的感受到周遭的一举一动。一场车祸中,路小星成为了目击者,凭借着自己的特殊能力,她做出了证词,路小星绝佳的感官和记忆力吸引了老刑警鲁力(王景春 饰)的注意。林冲(鹿晗 饰)是车祸的另一位目击者,可奇怪的是,他所做出的证词恰恰和路小星的证词截然不同。一个是五感健全的普通人,一个是双目失明的盲人,究竟应该相信谁的证词?而又是谁在撒谎呢? 链接:https://pan.quark.cn/s/b431064b689a 📁 大小:11.82GB 🏷 标签:#剧情 #悬疑 #犯罪 #我是证人

16 Jul 2026, 04:05 UTC319 viewsread 7 August 2026
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名称:拆弹部队 (2008) 1080P 国英双英轨 中英内嵌字幕 描述:该片主要讲述了一组美国拆弹专家被派往巴格达执行任务的故事。在那里每个当地人都像是潜在的敌人,每一个目标都像是伪装的炸弹,他们必须小心翼翼,稍不留神就会付出生命的代价。 链接:https://pan.quark.cn/s/33e281becf48 📁 大小:13.99GB 🏷 标签:#剧情 #惊悚 #战争 #拆弹部队

16 Jul 2026, 00:05 UTC315 viewsread 7 August 2026
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名称:查克的一生 (2024) 4K HDR 外挂简英字幕 描述:影片根据史蒂芬·金的同名短片小说改编,以三幕倒叙的方式,讲述查尔斯·克兰兹的一生,以他39岁因脑瘤去世为开端,以他在闹鬼的房子里度过的童年时光为结尾。 链接:https://pan.quark.cn/s/9d7cb51bc2ba 📁 大小:11.8GB 🏷 标签:#查克的一生 #剧情 #科幻 #奇幻 👥 群组:@Quark_0 📢 频道:@Quark_Movies

15 Jul 2026, 09:12 UTC351 viewsread 7 August 2026
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🏷 #金特务 #金特务本色回归 🎞《金特务:本色回归》(2026) 更新中 1080p 韩语中字 导演: 李胜英 主演: 苏志燮 / 崔大勋 / 尹敬浩 / 金成圭 / 孙娜恩 类型: 剧情 / 动作 剧情简介: 剧中主角金科长由苏志燮饰演。在剧中,金科长是敏智的父亲,也是一名朝鲜间谍。他被派去执行无数特别任务,包括17次朝鲜任务、五次韩国双重间谍任务,以及一次针对朝鲜最高司令官的暗杀行动。他是朝鲜黑名单上的头号人物,如同一颗定时炸弹,其存在必须对韩国保密。同时他还是一位单身父亲,带着一个女儿,在韩国一家小型储蓄银行有一份稳定的工作,过着平凡的生活。 Sophon网盘:https://link.mysophon.io/l/19N9TV

Showing the 12 most recent of 20 posts we hold for @JDbigdiscount. 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 — 741,836 of 1,151,006entries 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 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.

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

“网盘资源分享” (@JDbigdiscount), 2,774 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/JDbigdiscount.

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.