📺 Dark Matter (2024) 简中 4K DV 第二季 1~8集 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:7.8 🏷 类型:Sci-Fi & Fantasy / 剧情 👥 主演:乔尔·埃哲顿 / 詹妮弗·康纳利 / 艾莉丝·布拉加 / 吉米·辛普森 / 戴奥·奥柯奈伊 🔖 标签: #DarkMatter #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云

Channel
115网盘资源分享频道
@Lsp115
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
52,467subscribers
+1,876 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002121362585 |
|---|---|
| Type | Channel |
| Username | @Lsp115 |
| Description | https://t.me/tpbox_bot/tp_115 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 October 2026 |
| Measurements held | 42 |
| Confirmed unchanged | 1 time, most recently 19 October 2026 |
| On Telegram | t.me/Lsp115 |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 37% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Oct 2026, 13:59 | 52,467 | +37 |
| 18 Oct 2026, 16:06 | 52,430 | +28 |
| 17 Oct 2026, 19:38 | 52,402 | +48 |
| 16 Oct 2026, 19:36 | 52,354 | +35 |
| 15 Oct 2026, 19:05 | 52,319 | +47 |
| 14 Oct 2026, 19:57 | 52,272 | +26 |
| 13 Oct 2026, 10:37 | 52,246 | +99 |
| 9 Oct 2026, 08:20 | 52,147 | +107 |
| 5 Oct 2026, 01:00 | 52,040 | +218 |
| 28 Sept 2026, 00:59 | 51,822 | +160 |
| 17 Sept 2026, 17:56 | 51,662 | +99 |
| 15 Sept 2026, 16:16 | 51,563 | +57 |
| 13 Sept 2026, 21:36 | 51,506 | +8 |
| 12 Sept 2026, 03:57 | 51,498 | +23 |
| 9 Sept 2026, 19:21 | 51,475 | +40 |
| 6 Sept 2026, 08:57 | 51,435 | +70 |
| 3 Sept 2026, 23:00 | 51,365 | +40 |
| 2 Sept 2026, 14:55 | 51,325 | +23 |
| 1 Sept 2026, 10:57 | 51,302 | +13 |
| 31 Aug 2026, 08:39 | 51,289 | first reading |
Engagement
470 posts held, back to 30 July 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 161 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.80%
- avg views ÷ 52,467 subscribers
- Avg views / post
- 3,040
- 160 posts measured
- Reaction rate
- 0.064%
- reactions ÷ views · ER floor
- Posts in window
- 160
- of 470 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 117 of 160 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 19 October 2026 |
|---|---|
| Posts held | 470 (30 July 2026 – 19 October 2026) |
| Views total | 487,030 |
| Reactions total | 246 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 19 Oct 2026, 22:28 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
- Photos
- ≈17,300
- Videos
- ≈3
- Links
- ≈17,200
Lifetime counters from Telegram’s own channel header, read 19 October 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.
Reaction mix
649 reactions across 257 posts, in 12 distinct kinds. The most used accounts for 69.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 450 | 69.3% | |
| 👍 | 126 | 19.4% | |
| 👎 | 28 | 4.31% | |
| 🥰 | 11 | 1.69% | |
| 🤓 | 10 | 1.54% | |
| 💩 | 8 | 1.23% | |
| 👏 | 6 | 0.924% | |
| 💯 | 5 | 0.77% | |
| 😁 | 2 | 0.308% | |
| 🔥 | 1 | 0.154% | |
| 🤔 | 1 | 0.154% | |
| 🤡 | 1 | 0.154% |
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 303 of the 470 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 649 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 470 most recent posts we hold, published 30 July 2026 to 19 October 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
🎥 大师计划 (2026) 简中 繁中 4K DV ⭐️ 评分:7.1 🏷 类型:动作 / 惊悚 👥 主演:斯坦利·图齐 / 西蒙娜·塔巴斯科 / Victor Belmondo / Eliott Margueron / Bruno Bilotta 🔖 标签: #大师计划 #电影 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
❤1
📺 内格利 (2026) 简英 4K DV 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:8.1 🏷 类型:剧情 / 悬疑 / 犯罪 👥 主演:马丽亚·斯登 / 葛瑞斯通·霍尔特 / 阿德莱恩·鲁道夫 / 马修·德尔·内格罗 / 达蒙·海瑞曼 🔖 标签: #内格利 #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
📺 MobLand (2025) 简中 4K 📂 收录版本:黑帮胜地 第二季 1~5集 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:8.5 🏷 类型:犯罪 / 剧情 👥 主演:汤姆·哈迪 / 皮尔斯·布鲁斯南 / 帕迪·康斯戴恩 / 琼安·弗洛加特 / 劳拉·普沃 🔖 标签: #MobLand #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
❤1
📺 正相反的你与我 (2026) 简中 4K 32.6G 📂 收录版本:第二季 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:8.6 🏷 类型:动画 / 喜剧 👥 主演:铃代纱弓 / 坂田将吾 / 谷口梦奈 / 平林瑚夏 / 岩田安司 🔖 标签: #正相反的你与我 #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
📺 夜晚的水母不会游泳 (2024) 简日 4K 未删减 40.3G 📡 播出进度:✅ 已完结 (全集) ⭐️ 评分:7.2 🏷 类型:动画 / 剧情 👥 主演:伊藤美来 / 高桥李依 / 富田美忧 / 岛袋美由利 / 上坂堇 🔖 标签: #夜晚的水母不会游泳 #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
📺 在地下城寻求邂逅是否搞错了什么 (2015) 简中 4K 21.2G 📂 收录版本:第二季 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:7.3 🏷 类型:动画 / Sci-Fi & Fantasy / 喜剧 / 动作冒险 👥 主演:松冈祯丞 / 水濑祈 / 内田真礼 / 细谷佳正 / 大西沙织 🔖 标签: #在地下城寻求邂逅是否搞错了什么 #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
📺 大军师司马懿 (2017) 简中 4K WEB-DL 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:8.3 🏷 类型:剧情 / War & Politics 👥 主演:吴秀波 / 刘涛 / 张钧甯 / 李晨 / 唐艺昕 🔖 标签: #大军师司马懿 #剧集 #ed2k 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
👍1
📺 大军师司马懿 (2017) 简中 4K WEB-DL 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:8.3 🏷 类型:剧情 / War & Politics 👥 主演:吴秀波 / 刘涛 / 张钧甯 / 李晨 / 唐艺昕 🔖 标签: #大军师司马懿 #剧集 #ed2k 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
👍1
📺 末日地堡 (2023) 简中 简英 4K DV HDR10 📂 收录版本:末日地堡 S03 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:8.2 🏷 类型:Sci-Fi & Fantasy / 剧情 👥 主演:丽贝卡·弗格森 / 科曼 / 才那扎·乌奇 / Ashley Zukerman / 肖恩·麦克雷 🔖 标签: #末日地堡 #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
📺 暗潮之下 (2026) 4K DV HDR10 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:7.3 🏷 类型:剧情 / 悬疑 👥 主演:乔什·哈奈特 / 麦肯兹·戴维斯 / 查理·希顿 / 鲁比·斯托克斯 / Kaleb Horn 🔖 标签: #暗潮之下 #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
📺 美国恐怖故事 (2011) 简英 1080P DV 📂 收录版本:美国恐怖故事 S02 📡 播出进度:未知 (暂无收录数据) ⭐️ 评分:8.1 🏷 类型:剧情 / 悬疑 / Sci-Fi & Fantasy 👥 主演:莎拉·保罗森 / 埃文·彼得斯 / 安吉拉·贝塞特 / 凯西·贝茨 / 艾玛·罗伯茨 🔖 标签: #美国恐怖故事 #剧集 🤖 投稿:@tpbox_bot 🔍 搜索:@sougou115 ✈️ 机场:红杏云 | 糖果云 | 乌龟云
Showing the 12 most recent of 470 posts we hold for @Lsp115. 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.
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.
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 19 October 2026 — this entry's latest reading, not the date you are reading this.
“115网盘资源分享频道” (@Lsp115), 52,467 subscribers as measured 19 October 2026. Telegram Register, tgregister.com/channel/Lsp115.
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.