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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

110,064subscribers

-2,071 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
TypeChannel
Username@New_Sharing
Description𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗲: @AliYunPanBot @QuarkRobot @sharepan_bot
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.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

110,064112,135111,099.56 August 2026 — 112,135 subscribers7 August 2026 — 112,117 subscribers8 August 2026 — 112,078 subscribers9 August 2026 — 112,029 subscribers10 August 2026 — 111,983 subscribers11 August 2026 — 111,913 subscribers12 August 2026 — 111,861 subscribers13 August 2026 — 111,826 subscribers14 August 2026 — 111,758 subscribers16 August 2026 — 111,691 subscribers17 August 2026 — 111,607 subscribers18 August 2026 — 111,541 subscribers19 August 2026 — 111,479 subscribers20 August 2026 — 111,453 subscribers21 August 2026 — 111,399 subscribers23 August 2026 — 111,316 subscribers24 August 2026 — 111,217 subscribers25 August 2026 — 111,183 subscribers26 August 2026 — 111,132 subscribers27 August 2026 — 111,103 subscribers28 August 2026 — 111,046 subscribers29 August 2026 — 111,003 subscribers30 August 2026 — 110,959 subscribers31 August 2026 — 110,903 subscribers1 September 2026 — 110,839 subscribers2 September 2026 — 110,788 subscribers4 September 2026 — 110,730 subscribers6 September 2026 — 110,603 subscribers10 September 2026 — 110,455 subscribers12 September 2026 — 110,324 subscribers14 September 2026 — 110,219 subscribers15 September 2026 — 110,177 subscribers17 September 2026 — 110,064 subscribers6 August 202617 September 2026
33 measurements spanning 42 days, net -2,071. 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 109,753–112,446 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
17 Sept 2026, 20:19110,064-113
15 Sept 2026, 13:56110,177-42
14 Sept 2026, 01:38110,219-105
12 Sept 2026, 08:57110,324-131
10 Sept 2026, 05:00110,455-148
6 Sept 2026, 22:35110,603-127
4 Sept 2026, 08:16110,730-58
2 Sept 2026, 17:44110,788-51
1 Sept 2026, 13:11110,839-64
31 Aug 2026, 11:44110,903-56
30 Aug 2026, 10:24110,959-44
29 Aug 2026, 13:13111,003-43
28 Aug 2026, 15:33111,046-57
27 Aug 2026, 12:55111,103-29
26 Aug 2026, 16:04111,132-51
25 Aug 2026, 18:18111,183-34
24 Aug 2026, 20:03111,217-99
23 Aug 2026, 05:13111,316-83
21 Aug 2026, 17:49111,399-54
20 Aug 2026, 12:53111,453first reading

Engagement

165 posts held, back to 31 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 98 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.813%
avg views ÷ 110,064 subscribers
Avg views / post
895
90 posts measured
Reaction rate
0.117%
reactions ÷ views · ER floor
Posts in window
90
of 165 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 24 of 90 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 22 September 2026
Posts held165 (31 July 202622 September 2026)
Views total80,564
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 09:25 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 22 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

33 reactions across 30 posts, in 4 distinct kinds. The most used accounts for 63.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2163.6%
👍927.3%
🐳26.06%
🙉13.03%

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 39 of the 165 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 165 most recent posts we hold, published 31 July 2026 to 22 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

22 Sept 2026, 01:00 UTC298 views1 reactionsread 22 September 2026

📊 汇盘资源频道统计 统计周期:2026/09/21 - 2026/09/22 📈 新增投稿数量:186 热门搜索词 Top 10: 🥇 AI情色短剧 (37次) 🥈 兰香如故 (27次) 🥉 生化危机 (11次) 4. 信阳师范大学 (11次) 5. 欢迎来到龙餐馆 (7次) 6. 四渡 (7次) 7. 太平年 (7次) 8. 双螺旋 (6次) 9. 浩克肥虫 (6次) 10. 欢迎来龙餐馆 (5次) 机器人:@sharepan_bot

🐳1

22 Sept 2026, 01:00 UTC288 views1 reactionsread 22 September 2026

📊 夸克资源频道统计 统计周期:2026/09/21 - 2026/09/22 📈 新增投稿数量:596 热门搜索词 Top 10: 🥇 兰香如故 (77次) 🥈 早春晴朗 (50次) 🥉 交锋 (50次) 4. 生化危机 (38次) 5. 挑情丑闻 (37次) 6. 电影 (35次) 7. 小黄人 (25次) 8. 凡人修仙传 (20次) 9. 重器 (19次) 10. 生化危机爆发夜 (18次) 机器人:@QuarkRobot

👍1

22 Sept 2026, 01:00 UTC257 views1 reactionsread 22 September 2026

📊 阿里资源频道统计 统计周期:2026/09/21 - 2026/09/22 📈 新增投稿数量:23 热门搜索词 Top 10: 🥇 凡人修仙传 (9次) 🥈 奔跑吧 (8次) 🥉 葫芦小金刚 (8次) 4. 县志 (7次) 5. 视频 (5次) 6. 奥德赛 (5次) 7. 狂 (5次) 8. 一人之下漫画 (5次) 9. 浩克肥虫 (5次) 10. pdf (4次) 机器人:@AliYunPanBot

👍1

21 Sept 2026, 01:00 UTC607 viewsread 22 September 2026

📊 汇盘资源频道统计 统计周期:2026/09/20 - 2026/09/21 📈 新增投稿数量:145 热门搜索词 Top 10: 🥇 训练营 (361次) 🥈 AI情色短剧 (21次) 🥉 欢迎来到龙餐馆 (19次) 4. 兰香如故 (18次) 5. 信阳师范大学 (16次) 6. 凡人修仙传 (6次) 7. 生化危机 (4次) 8. 一瓯春 (4次) 9. 给阿嬷的情书 (4次) 10. 屋檐下的俏女孩 (3次) 机器人:@sharepan_bot

21 Sept 2026, 01:00 UTC543 viewsread 22 September 2026

📊 夸克资源频道统计 统计周期:2026/09/20 - 2026/09/21 📈 新增投稿数量:505 热门搜索词 Top 10: 🥇 兰香如故 (64次) 🥈 交锋 (58次) 🥉 现在不是出轨的问题 (53次) 4. 悬案 (52次) 5. 挑情丑闻 (52次) 6. 凡人修仙传 (44次) 7. 妻子的浪漫旅行 (33次) 8. 广场舞 (33次) 9. 生化危机 (29次) 10. 老男孩 (28次) 机器人:@QuarkRobot

21 Sept 2026, 01:00 UTC469 viewsread 22 September 2026

📊 阿里资源频道统计 统计周期:2026/09/20 - 2026/09/21 📈 新增投稿数量:13 热门搜索词 Top 10: 🥇 兰香如故 (8次) 🥈 我家那闺女 (7次) 🥉 霍比特人 (7次) 4. 痴迷 (5次) 5. 三体 (5次) 6. 演唱会 (5次) 7. 欢迎来到 (5次) 8. 早春晴朗 (4次) 9. 擦边 (4次) 10. 坠落 (4次) 机器人:@AliYunPanBot

20 Sept 2026, 01:00 UTC681 views1 reactionsread 22 September 2026

📊 汇盘资源频道统计 统计周期:2026/09/19 - 2026/09/20 📈 新增投稿数量:174 热门搜索词 Top 10: 🥇 兰香如故 (31次) 🥈 欢迎来到龙餐馆 (23次) 🥉 AI情色短剧 (21次) 4. 给阿嬷的情书 (13次) 5. 一瓯春 (8次) 6. 生化危机 (7次) 7. 绝命毒师 (7次) 8. 音乐缘计划 (6次) 9. 信阳师范大学 (4次) 10. 桃情丑闻 (4次) 机器人:@sharepan_bot

👍1

20 Sept 2026, 01:00 UTC642 views1 reactionsread 22 September 2026

📊 夸克资源频道统计 统计周期:2026/09/19 - 2026/09/20 📈 新增投稿数量:521 热门搜索词 Top 10: 🥇 凡人修仙传 (99次) 🥈 兰香如故 (91次) 🥉 挑情丑闻 (66次) 4. 交锋 (53次) 5. 生化危机 (51次) 6. 斗破苍穹 (46次) 7. 蜘蛛侠 (39次) 8. 年会不能停2 (33次) 9. 一瓯春 (32次) 10. 年会不能停 (32次) 机器人:@QuarkRobot

👍1

20 Sept 2026, 01:00 UTC569 views2 reactionsread 22 September 2026

📊 阿里资源频道统计 统计周期:2026/09/19 - 2026/09/20 📈 新增投稿数量:15 热门搜索词 Top 10: 🥇 交锋 (24次) 🥈 杰克 (16次) 🥉 夜王 (13次) 4. 牧神记 (10次) 5. 兰香如故 (10次) 6. #交锋 (8次) 7. 中国国家地理 (8次) 8. 凡人 (7次) 9. 凡人修仙传 (7次) 10. 教场 (7次) 机器人:@AliYunPanBot

👍1🙉1

19 Sept 2026, 01:00 UTC784 viewsread 22 September 2026

📊 汇盘资源频道统计 统计周期:2026/09/18 - 2026/09/19 📈 新增投稿数量:233 热门搜索词 Top 10: 🥇 兰香如故 (86次) 🥈 AI情色短剧 (38次) 🥉 欢迎来到龙餐馆 (22次) 4. 给阿嬷的情书 (7次) 5. 教程 (7次) 6. AI (6次) 7. 生命树 (5次) 8. 充电 (5次) 9. 唱歌 (4次) 10. 海贼王 (4次) 机器人:@sharepan_bot

19 Sept 2026, 01:00 UTC727 viewsread 22 September 2026

📊 夸克资源频道统计 统计周期:2026/09/18 - 2026/09/19 📈 新增投稿数量:782 热门搜索词 Top 10: 🥇 兰香如故 (105次) 🥈 1 (48次) 🥉 交锋 (42次) 4. 阿凡达 (30次) 5. 绝世唐门 (27次) 6. SBS (21次) 7. 电影 (18次) 8. 生化危机 (18次) 9. 剧集 (17次) 10. 流人 (17次) 机器人:@QuarkRobot

19 Sept 2026, 01:00 UTC657 views1 reactionsread 22 September 2026

📊 阿里资源频道统计 统计周期:2026/09/18 - 2026/09/19 📈 新增投稿数量:11 热门搜索词 Top 10: 🥇 喜羊羊 (17次) 🥈 夜王 (15次) 🥉 时间 (11次) 4. 咒术回战 (10次) 5. 交锋 (9次) 6. 给阿嬷的情书 (7次) 7. 综艺 (7次) 8. 七龙珠 一口气看完 (7次) 9. 花儿与少年 (7次) 10. 兹山鱼谱 (6次) 机器人:@AliYunPanBot

🐳1

Showing the 12 most recent of 165 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.

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 17 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), 110,064 subscribers as measured 17 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.