Channel
@vip115hot
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
50,992subscribers
+265 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001344815419 |
|---|---|
| Type | Channel |
| Username | @vip115hot |
| Description | ✨建议|投稿|广告|合作 @pinuo_bot |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/vip115hot |
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 18:29 | 50,992 | +18 |
| 12 Aug 2026, 18:54 | 50,974 | +26 |
| 11 Aug 2026, 16:15 | 50,948 | +37 |
| 10 Aug 2026, 15:06 | 50,911 | +67 |
| 9 Aug 2026, 12:31 | 50,844 | +50 |
| 8 Aug 2026, 15:21 | 50,794 | +39 |
| 7 Aug 2026, 13:44 | 50,755 | +28 |
| 7 Aug 2026, 01:15 | 50,727 | first reading |
102 posts held, back to 6 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 20 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 27 of 102 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 102 (6 August 2026 – 13 August 2026) |
| Views total | 75,987 |
| Reactions total | 33 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 11:43 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. 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.
33 reactions across 24 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 33 | 100.0% |
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 27 of the 102 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 33reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 6 August 2026 to 13 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： 真人快打2 Mortal Kombat 2 (2026)[4K蓝光原盘REMUX简繁英双语特效字幕] 描述： 影片继续2021年《真人快打》的故事，讲述了在绍康（马丁·福特 饰）征服伊甸尼亚后，地球界域面临即将被他统治的巨大威胁。雷电（浅野忠信 饰）召集了刘康（林路迪 饰）、索尼娅·刀锋（杰西卡·麦克娜美 饰）、贾克斯（麦卡德·布鲁克斯 饰）以及新成员——过气好莱坞动作明星强尼·凯奇（卡尔·厄本 饰）组成地球卫士，参加决定地球命运的第十届真人快打锦标赛。在这场毫无规则可言的终极格斗中，他们不仅要面对绍康和他的军队，还需要应对吉塔娜（阿德莱恩·鲁道夫 饰）、杰德（塔蒂·加布里埃 饰）、辛黛尔等强大的对手。影片以其对游戏终结技的忠实还原和升级的暴力美学著称，于2026年5月8日在北美与中国内地同步上映。 链接： https://pan.quark.cn/s/ef1bb9641486 📁 大小：32G 🏷 标签： #动作…
名称：CLANNAD 2007 4K 9.3分 中村悠一/中原麻衣 描述：Clannad是人生，After Story是人生真谛！ 京都动画催泪巅峰，朋也与渚的家族故事，看完哭成泪人。 链接： https://pan.quark.cn/s/8eb1f44a2630 📁 大小：79GB 🏷 标签：#动画 #治愈 #催泪 #日漫 #京都动画 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
名称： 灾难电影大合集 [4K蓝光原盘珍藏版][中文字幕][国英双语] 描述： 收录了影史经典与当代视效灾难巨片，包含《泰坦尼克号》、《后天》、《2012》、《世界之战》、《海啸奇迹》、《龙卷风》、《火山爆发》、《末日崩塌》、《不惧风暴》等数十部作品。见证地球遭遇陨石撞击、海啸吞没城市、极寒冰封大陆、超级风暴席卷全球等惊心动魄的末日场景，以及人类在自然灾害面前展现的渺小、勇气与求生意志。 链接： https://pan.quark.cn/s/157bd64f3200 📁 大小：900G 🏷 标签： #合集 #灾难 #动作 #科幻 #冒险 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
❤4
名称：断背山 2005 4K 8.8分 李安/希斯·莱杰 描述：每个人心中都有一座断背山！ 李安执导，影史最伟大的爱情片之一，希斯·莱杰的巅峰表演。 链接： https://pan.quark.cn/s/00220b431e53 提取码：yZzH 📁 大小：75GB 🏷 标签：#爱情 #剧情 #经典 #李安 #希斯·莱杰 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
名称：敦煌 2010 1080P 9.3分 周兵 描述：央视神作，敦煌迷的必修课！ 周兵执导，莫高窟壁画背后的千年故事，画面恢弘，看完想去西北。 链接： https://pan.quark.cn/s/269d82873a9e 📁 大小：13GB 🏷 标签：#纪录 #历史 #文物 #国产 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
❤1
名称：敦煌：生而传奇 2021 1080P 7.9分 冯小刚/鲁安·麦根 描述：冯小刚配音，5集讲透千年敦煌！ 中外团队联手，人物纪传体叙事，从张骞到玄奘，看敦煌如何成为传奇。 链接： https://pan.quark.cn/s/43cd79144b3e 📁 大小：3GB 🏷 标签：#纪录 #历史 #国产 #冯小刚 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
名称：毒枭 2017 1080P 9.3分 瓦格纳·马拉/佩德罗·帕斯卡 描述：Netflix犯罪剧之王，毒枭巴勃罗的传奇一生！ 哥伦比亚缉毒战争真实改编，魔幻现实主义拉满，欲罢不能。 链接： https://pan.quark.cn/s/12c6a9d8eeab 📁 大小：45GB 🏷 标签：#犯罪 #剧情 #美剧 #Netflix #瓦格纳·马拉 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
名称：EVA 1995 4K 9.4分 庵野秀明/绪方惠美 描述：人类补完计划启动，动画史最伟大的作品！ 庵野秀明封神，机甲、宗教与心理剖析，每看一遍都有新解读。 链接： https://pan.quark.cn/s/da635fe1cc53 提取码：sxbn 📁 大小：85GB 🏷 标签：#动画 #科幻 #经典 #日漫 #庵野秀明 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
名称：钢琴家 2002 4K 9.3分 波兰斯基/阿德里安·布劳迪 描述：战争与艺术的极致对抗，奥斯卡封神之作！ 犹太钢琴家在华沙的求生之路，布劳迪影史最年轻影帝。 链接： https://pan.quark.cn/s/576196810118 📁 大小：94GB 🏷 标签：#战争 #剧情 #经典 #波兰斯基 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
名称：继承之战 2023 1080P 9.4分 布莱恩·考克斯/杰西·阿姆斯特朗 描述：HBO又一封神剧，家族权斗天花板！ 传媒帝国罗伊家族的内斗大戏，金句频出，艾美奖收割机。 链接： https://pan.quark.cn/s/66e187636ca1 提取码：dSUT 📁 大小：39GB 🏷 标签：#剧情 #权谋 #美剧 #HBO #布莱恩·考克斯 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
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名称：人生一串 2018 1080P 9.0分 陈英杰 描述：深夜放毒警告，烧烤界纪录片天花板！ 烤串配人生百态，江湖烟火气拉满，看一集点一单外卖。 链接： https://pan.quark.cn/s/43939a7a1cd1 📁 大小：48GB 🏷 标签：#纪录 #美食 #国产 #烧烤 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖
Showing the 12 most recent of 102 posts we hold for @vip115hot. 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.
@vip115hot edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 275,310 of 1,336,469entries 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 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.
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.
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.
“懒狗集中营-115/阿里/百度/迅雷/夸克 影视分享 阿里云盘百度网盘115网盘光鸭云盘” (@vip115hot), 50,992 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/vip115hot.
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.