Channel
@jpnd5
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
26,204subscribers
+15 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001754812960 |
|---|---|
| Type | Channel |
| Username | @jpnd5 |
| Description | 发布经典、热门美剧、国剧、英剧、日剧、韩剧。。。 |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/jpnd5 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 00:45 | 26,204 | +15 |
| 13 Aug 2026, 08:45 | 26,189 | first reading |
22 posts held, back to 5 August 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 3 pagesof Telegram’s post history, 20 posts per page.
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 7 of 22 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 22 (5 August 2026 – 14 August 2026) |
| Views total | 13,804 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 15:42 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.
Lifetime counters from Telegram’s own channel header, read 14 August 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.
6 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 83.3% | |
| 👍 | 1 | 16.7% |
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 7 of the 22 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 5 August 2026 to 14 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.
名称：我的璀璨生涯 (2026) 1080P 全6集 内封简繁字幕 描述：故事设定在1900年的澳洲，讲述个性倔强的农场女孩希比拉（菲利帕·诺斯伊斯特 饰）渴望追求写作与独立自由，但在面对社会传统期望与富裕地主的追求时，她必须在婚姻与个人生涯抱负之间做出抉择。 链接：https://pan.quark.cn/s/ef5e7389f620 📁 大小：20GB 🏷 标签：#我的璀璨生涯 #剧情 #澳大利亚剧 #NF
名称：御廷谣 (2026) 4K 全32集 描述：立志凭科举入仕、改写底层命运的孤女孟廷辉因意外结识微服私访的少年新帝英寡，二人联手铲除沙州官匪，英寡赏识其胆识智谋，暗中助力她赴京赶考。孟廷辉入京后遭科举舞弊构陷，凭智勇自证清白，被英寡破格任命为察闻院主事，清查虎啸帮、晚香阁等黑恶势力，逐步牵出血月会复国阴谋与朝堂权斗。二人从君臣知己渐生情愫，历经身世谜团、朝堂阻力与边境战乱，最终平定叛乱、整肃朝纲，携手共护江山万民。 链接：https://pan.quark.cn/s/b5ee1756b38e 📁 大小：73.7GB 🏷 标签：#御廷谣 #剧情 #古装 #国剧
👍1
名称：设计爱情 (2026) 1080P 全10集 内封简繁泰字幕 描述：“Aokbab”是一位充满抱负的年轻女建筑师，她一心想要向曾窃取自己作品的学姐 “Mild” 复仇。她决定自立门户，创办自己的公司来挑战Mild。然而，这条道路并不平坦，她必须面对激烈的竞争、背叛，以及与天才建筑师 “Rin”的意外爱情。 在巨大的压力下，Aokbab必须在根深蒂固的复仇与这段新感情之间做出选择。她能克服重重障碍，证明自己，并赢得Rin的心吗？ 夸克：https://pan.quark.cn/s/461d2f44aad6 📁 大小：21.9GB 🏷 标签：#设计爱情 #剧情 #爱情 #同性 #泰剧 #NF
名称：知否知否应是绿肥红瘦 (2018) 4K 60帧 全73集 描述：故事发生在大宋年间。扬州通判盛紘的女儿明兰（赵丽颖 饰）蕙质兰心，聪颖可人，可惜母亲偏为侧室，因此倍遭嫡母及其爪牙的忌恨。明兰听从母亲的临终嘱托，收敛锋芒，投靠盛老太太羽翼呵护。而在此期间，她与宁远侯府二公子顾廷烨（冯绍峰 饰）从陌生到相知，后者更成为她人生中不可多得的贵人。母亲的离开并未让明兰从此安然，即使有老太太的呵护，盛府上下依然遍布明枪暗箭，随时威胁着她的安全。在这一过程中，明兰犹如浴火凤凰，忍辱负重，一步步闯过人生重重考验，用自己的力量追寻着人间公正和属于自己的幸福…… 链接：https://pan.quark.cn/s/7ba5c317d1b3 📁 大小：153.7GB 🏷 标签：#剧情 #爱情 #古装 #知否知否应是绿肥红瘦 #国剧
名称：九门 (2026) 4K 更新 E01 - 24 集 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。一桩401部队的神秘失踪事件，牵出百年尘封的惊天秘辛。生死抉择、兄弟之情、门派担当与家国大义相互交织。九门众人用热血和牺牲，守护家园，共渡难关。 链接：https://pan.quark.cn/s/a4893e8ccfc6 📁 大小：19GB 🏷 标签：#九门 #剧情 #动作 #冒险 #国剧
名称：杀人者的购物中心 第二季 (2026) 4K HDR10 全8集完结 内封简繁字幕 描述：购物中心即将重新开张！ 郑进湾（李栋旭 饰）和郑智安（金慧峻 饰）叔侄档再度联手，制作规模、动作场面全部疯狂升级。玄理、冈田将生强势加盟，化身空降雇佣兵组织“巴比伦”的新成员，誓要彻底剿灭叔侄二人！前有宿敌贝尔，后有“巴比伦”步步进逼，两叔侄会点样杀出一条血路？一切未解之谜，即将震撼揭晓。杀人者的购物中心2 链接：https://pan.quark.cn/s/394019e772b5 📁 大小：40.9GB 🏷 标签：#剧情 #悬疑 #动作 #迪士尼 #杀人者的购物中心2 #韩剧
名称：杀人者的购物中心 第一季 (2024) 4K HDR & Dv 全8集 内封简繁字幕 描述：剧情讲述失去父母后由叔叔抚养长大的侄女，在叔叔突然去世后知道了可疑购物中心的真实面貌，并将讣告告知顾客们发生的故事。 链接：https://pan.quark.cn/s/662bd8f195ba 📁 大小：39GB 🏷 标签： #动作 #犯罪 #剧情 #悬疑 #杀人者的购物中心 #韩剧 #迪士尼
名称：新白娘子传奇 (1992) 4K 高码 全50集 描述：白蛇素贞（赵雅芝 饰）还是一条没有什么法力的小蛇时曾被捕蛇老人所抓，幸得一小牧童相救。素贞心内发誓，一定要报答这份救命之恩。一千年以后，白蛇修成人身，往人间报恩时相遇青蛇小青（陈美琪 饰），将其驯服，以姊妹相称。得到菩萨明示之后，素贞前往杭州西湖找到了千年后的小牧童、此 时是一个药堂的学徒许仙（叶童 饰）。天上降下大方贤惠又漂亮的女子，自然是呆学生许仙所不曾妄想的。而巧用妙计的素贞让二人相识不久很快就结成秦晋之好。 链接：https://pan.quark.cn/s/46fee3f0ae47 📁 大小：305.6GB 🏷 标签：#爱情 #奇幻 #古装 #新白娘子传奇 #国剧
名称：斯特林角 (2026) 4K HDR10+ 全8集 内封简繁字幕 描述：17岁的纽约少女Annie（艾拉·鲁宾 饰）和双胞胎哥哥由养父抚养长大。她无意中继承了神秘外祖父在加拿大的一座岛屿。于是她前往加拿大度过了一个夏天。在那里，她结交了新朋友，收获了浪漫爱情，并揭开了家族的隐藏秘密。 链接：https://pan.quark.cn/s/d798f258fda5 📁 大小：50.8GB 🏷 标签：#斯特林角 #剧情 #美剧 #AMZN
名称：月光骑士 (2022) 4K HDR 全6集 国英多音轨 内封简繁字幕 描述：当史蒂文·格兰特，一名举止温和的礼品店员工，经常失去意识并被另一个人的生活记忆困扰，他发现自己患有多重人格障碍，并与雇佣兵马克·斯拜克特共同拥有一副身体。随着史蒂文/马克的敌人向他们逼近，他们一边要驾驭自己复杂的身份，一边被卷入一场埃及强大众神的神秘危机。 链接：https://pan.quark.cn/s/6d721c7f5459 📁 大小：41.3GB 🏷 标签：#动作 #奇幻 #冒险 #月光骑士 #美剧 #迪士尼
名称：虎与龙 (2005) 1080P 全12集 内封简繁字幕 描述：早已忘记笑容为何物的混混山崎虎儿（长濑智也 饰），在替所属帮派新宿流星会催要债款时意外的被逗笑了。逗笑他的就是欠债人——落语（即单口相声）师林屋亭屯兵卫（西田敏行 饰）。于是，虎儿决定拜屯兵卫为师，学费就用债务来抵。游走于黑夜的帮派份子有了新的身份“林屋亭小虎”。 从没接触过落语的虎儿起初很头疼，意外的邂逅了曾经的落语天才，屯兵卫的次子谷中龙二（冈田准一 饰）。极富天分的龙二却执意要经营没有人气造型诡异的服装店“Dragon Soda”。二人的相识，在无形中也影响着对方。而虎儿也找到了属于自己的落语，把身边的事结合传统相声，打造出新的落语。每集一个小故事，即是历代相传的经典，也记录着现实里的点滴，或悲或喜。 链接：https://pan.quark.cn/s/5eaa32be97c7 📁 大小：22GB 🏷 标签：#剧情 #喜剧 #日剧 #虎与龙
名称：铁齿铜牙纪晓岚 4部 1080P 描述：《铁齿铜牙纪晓岚第一部》 本部故事发生在清朝乾隆皇帝执政年间，当时社会表面上呈现出一派祥和繁荣的景象，被满人自称为所谓的康乾盛世。然而，表面上的国泰民安，掩饰不了各种日益激化的深层次的矛盾。如何清除 … 链接：https://pan.quark.cn/s/3f746815dd90 📁 大小：262GB 🏷 标签：#剧情 #喜剧 #古装 #铁齿铜牙纪晓岚 #国剧
Showing the 12 most recent of 22 posts we hold for @jpnd5. 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 — 462,803 of 1,340,412entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
“电视剧资源频道” (@jpnd5), 26,204 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/jpnd5.
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.