📊 汇盘资源频道统计 统计周期:2026/09/28 - 2026/09/29 📈 新增投稿数量:204 热门搜索词 Top 10: 🥇 兰香如故 (53次) 🥈 AI情色短剧 (29次) 🥉 生化危机爆发夜 (21次) 4. 欢迎来龙餐馆 (17次) 5. 豺狼的日子 (11次) 6. 日剧 (5次) 7. 法医秦明龙番往事 (5次) 8. 上之云 (5次) 9. 阿嫲的情书 (4次) 10. 生化危机8 hdr (4次) 机器人:@sharepan_bot

Channel
好剧分享、热门搜索、更新通知/magic🔮魔法频道
@New_Sharing
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
109,555subscribers
-2,580 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001513132643 |
|---|---|
| Type | Channel |
| Username | @New_Sharing |
| Description | 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗲: @AliYunPanBot @QuarkRobot @sharepan_bot |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 28 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 28 September 2026 |
| On Telegram | t.me/New_Sharing |
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 9 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 |
|---|---|---|
| 28 Sept 2026, 01:57 | 109,555 | -509 |
| 17 Sept 2026, 20:19 | 110,064 | -113 |
| 15 Sept 2026, 13:56 | 110,177 | -42 |
| 14 Sept 2026, 01:38 | 110,219 | -105 |
| 12 Sept 2026, 08:57 | 110,324 | -131 |
| 10 Sept 2026, 05:00 | 110,455 | -148 |
| 6 Sept 2026, 22:35 | 110,603 | -127 |
| 4 Sept 2026, 08:16 | 110,730 | -58 |
| 2 Sept 2026, 17:44 | 110,788 | -51 |
| 1 Sept 2026, 13:11 | 110,839 | -64 |
| 31 Aug 2026, 11:44 | 110,903 | -56 |
| 30 Aug 2026, 10:24 | 110,959 | -44 |
| 29 Aug 2026, 13:13 | 111,003 | -43 |
| 28 Aug 2026, 15:33 | 111,046 | -57 |
| 27 Aug 2026, 12:55 | 111,103 | -29 |
| 26 Aug 2026, 16:04 | 111,132 | -51 |
| 25 Aug 2026, 18:18 | 111,183 | -34 |
| 24 Aug 2026, 20:03 | 111,217 | -99 |
| 23 Aug 2026, 05:13 | 111,316 | -83 |
| 21 Aug 2026, 17:49 | 111,399 | first reading |
Engagement
186 posts held, back to 31 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 112 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.819%
- avg views ÷ 109,555 subscribers
- Avg views / post
- 897
- 90 posts measured
- Reaction rate
- 0.128%
- reactions ÷ views · ER floor
- Posts in window
- 90
- of 186 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 19 of 90 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 186 (31 July 2026 – 29 September 2026) |
| Views total | 80,722 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 10:45 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
- 21
- Links
- 49
Lifetime counters from Telegram’s own channel header, read 29 September 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.
Reaction mix
39 reactions across 33 posts, in 4 distinct kinds. The most used accounts for 53.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 53.8% | |
| 👍 | 15 | 38.5% | |
| 🐳 | 2 | 5.13% | |
| 🙉 | 1 | 2.56% |
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 42 of the 186 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 39 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 186 most recent posts we hold, published 31 July 2026 to 29 September 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
📊 夸克资源频道统计 统计周期:2026/09/28 - 2026/09/29 📈 新增投稿数量:469 热门搜索词 Top 10: 🥇 兰香如故 (207次) 🥈 仙逆 (39次) 🥉 我不是大师 (34次) 4. 早春晴朗 (29次) 5. 电影 (26次) 6. 交锋 (24次) 7. 藏海花 (24次) 8. 人生切割术 (23次) 9. 生化危机 (23次) 10. 凡人修仙传 (23次) 机器人:@QuarkRobot
📊 阿里资源频道统计 统计周期:2026/09/28 - 2026/09/29 📈 新增投稿数量:10 热门搜索词 Top 10: 🥇 鬼 (31次) 🥈 生化危机 (9次) 🥉 兰香如故 (9次) 4. 剧集 (9次) 5. 克拉克 (8次) 6. 三十号杀人 (7次) 7. 网飞 (7次) 8. 杀戮都市 (7次) 9. 流人 (7次) 10. 特立独行 (6次) 机器人:@AliYunPanBot
📊 汇盘资源频道统计 统计周期:2026/09/27 - 2026/09/28 📈 新增投稿数量:150 热门搜索词 Top 10: 🥇 兰香如故 (53次) 🥈 AI情色短剧 (32次) 🥉 欢迎来龙餐馆 (17次) 4. 生化危机爆发夜 (10次) 5. 教程 (6次) 6. 欢迎来到龙餐馆 (6次) 7. 后天 (5次) 8. 怪物 (5次) 9. 阿嫲的情书 (4次) 10. 匹兹堡医护前线 (4次) 机器人:@sharepan_bot
📊 夸克资源频道统计 统计周期:2026/09/27 - 2026/09/28 📈 新增投稿数量:528 热门搜索词 Top 10: 🥇 兰香如故 (225次) 🥈 仙逆 (80次) 🥉 我不是大师 (44次) 4. 凡人修仙传 (41次) 5. 生化危机 (32次) 6. 惊悚片 (31次) 7. 牧神记 (27次) 8. 港剧 (23次) 9. 电影 (22次) 10. 地球超新鲜 (22次) 机器人:@QuarkRobot
📊 阿里资源频道统计 统计周期:2026/09/27 - 2026/09/28 📈 新增投稿数量:20 热门搜索词 Top 10: 🥇 音乐 (12次) 🥈 剧集 (11次) 🥉 痴迷 (10次) 4. 泰剧 (10次) 5. 电影 (9次) 6. 生化危机 (9次) 7. 演唱会 (9次) 8. bbc纪录片 (7次) 9. 兰香如故 (7次) 10. 吞噬星空 (7次) 机器人:@AliYunPanBot
📊 汇盘资源频道统计 统计周期:2026/09/26 - 2026/09/27 📈 新增投稿数量:131 热门搜索词 Top 10: 🥇 AI情色短剧 (48次) 🥈 兰香如故 (43次) 🥉 欢迎来龙餐馆 (35次) 4. 生化危机爆发夜 (12次) 5. 欢迎来到龙餐馆 (11次) 6. 社内 (9次) 7. 凡人修仙传 (7次) 8. 风起少年时 (7次) 9. 余红旧事 (6次) 10. 凡人修仙传年番4 (6次) 机器人:@sharepan_bot
👍2
📊 夸克资源频道统计 统计周期:2026/09/26 - 2026/09/27 📈 新增投稿数量:512 热门搜索词 Top 10: 🥇 兰香如故 (171次) 🥈 凡人修仙传 (95次) 🥉 哆啦A梦 (57次) 4. 电影 (57次) 5. 八仙 (45次) 6. 斗破苍穹 (44次) 7. 我不是大师 (39次) 8. 1 (37次) 9. 星际穿越 (34次) 10. 生化危机 (31次) 机器人:@QuarkRobot
👍2
📊 阿里资源频道统计 统计周期:2026/09/26 - 2026/09/27 📈 新增投稿数量:16 热门搜索词 Top 10: 🥇 剧集 (20次) 🥈 电影 (16次) 🥉 海贼王 (12次) 4. 周星驰 (10次) 5. 凡人修仙传 (10次) 6. 奥德赛 (9次) 7. netflix (9次) 8. 兰香如故 (9次) 9. 绝命毒师 (8次) 10. 交锋 (7次) 机器人:@AliYunPanBot
👍2
📊 汇盘资源频道统计 统计周期:2026/09/25 - 2026/09/26 📈 新增投稿数量:191 热门搜索词 Top 10: 🥇 AI情色短剧 (44次) 🥈 兰香如故 (42次) 🥉 欢迎来龙餐馆 (27次) 4. 欢迎来到龙餐馆 (18次) 5. 迷雾 (14次) 6. 凡人修仙传 (9次) 7. 动画电影 (7次) 8. 生化危机爆发夜 (6次) 9. 太平年 (5次) 10. 挑情丑闻 (5次) 机器人:@sharepan_bot
📊 夸克资源频道统计 统计周期:2026/09/25 - 2026/09/26 📈 新增投稿数量:520 热门搜索词 Top 10: 🥇 兰香如故 (127次) 🥈 密室大逃脱 (102次) 🥉 花儿与少年 (94次) 4. 说唱巅峰对决2026 (61次) 5. 你好星期六 (56次) 6. 我家那闺女 (55次) 7. 披荆斩棘 (51次) 8. 交锋 (41次) 9. 沧元图 (39次) 10. 合集 (38次) 机器人:@QuarkRobot
📊 阿里资源频道统计 统计周期:2026/09/25 - 2026/09/26 📈 新增投稿数量:18 热门搜索词 Top 10: 🥇 兰香如故 (12次) 🥈 咒术回战 (10次) 🥉 八仙 (9次) 4. 假面 (8次) 5. 生化危机:爆发夜 (7次) 6. 奥德赛 (6次) 7. 蜘蛛侠崭新 (6次) 8. 剧集 (6次) 9. 东京喰种 (6次) 10. 斗罗 (5次) 机器人:@AliYunPanBot
Showing the 12 most recent of 186 posts we hold for @New_Sharing. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 3 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@New_Sharing named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 11 posts, 8 August 2026 – 11 August 2026
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 28 September 2026 — this entry's latest reading, not the date you are reading this.
“好剧分享、热门搜索、更新通知/magic🔮魔法频道” (@New_Sharing), 109,555 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/New_Sharing.
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.