Telegram RegisterThe public register of Telegram

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

111,861subscribers

-274 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 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 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

111,861112,135111,9986 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 subscribers6 August 202612 August 2026
7 measurements spanning 5 days, net -274. 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 111,820–112,176 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 08:37111,861-52
11 Aug 2026, 09:07111,913-70
10 Aug 2026, 11:38111,983-46
9 Aug 2026, 09:53112,029-49
8 Aug 2026, 09:53112,078-39
7 Aug 2026, 09:41112,117-18
6 Aug 2026, 22:02112,135first reading

Engagement

35 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.842%
avg views ÷ 111,861 subscribers
Avg views / post
942
33 posts measured
Reaction rate
0.059%
reactions ÷ views · ER floor
Posts in window
35
of 35 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 5 of 33 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 12 August 2026
Posts held35 (31 July 202612 August 2026)
Views total31,086
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:25 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
20
Links
46

Lifetime counters from Telegram’s own channel header, read 12 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.

Reaction mix

3 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 5 of the 35 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 31 July 2026 to 12 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.

Recent posts

12 Aug 2026, 01:00 UTC494 viewsread 12 August 2026

📊 汇盘资源频道统计 统计周期:2026/08/11 - 2026/08/12 📈 新增投稿数量:106 热门搜索词 Top 10: 🥇 AI情色短剧 (48次) 🥈 音乐 (32次) 🥉 给阿嬷的情书 (11次) 4. 夜王 (10次) 5. 九门 (10次) 6. 吞噬星空236 (7次) 7. 星球大战 (5次) 8. 短剧 (5次) 9. 希望2026 (4次) 10. 痴迷 (4次) 机器人:@sharepan_bot

12 Aug 2026, 01:00 UTC465 viewsread 12 August 2026

📊 夸克资源频道统计 统计周期:2026/08/11 - 2026/08/12 📈 新增投稿数量:592 热门搜索词 Top 10: 🥇 九门 (136次) 🥈 原盘remux 4K (73次) 🥉 蜘蛛侠 (38次) 4. 主角 (34次) 5. 4K原盘remux (27次) 6. 天才女友 (24次) 7. 花开锦绣 (22次) 8. 努力克服自卑的我们 (21次) 9. 南美剧 (21次) 10. 吞噬星空 (20次) 机器人:@QuarkRobot

12 Aug 2026, 01:00 UTC402 viewsread 12 August 2026

📊 阿里资源频道统计 统计周期:2026/08/11 - 2026/08/12 📈 新增投稿数量:21 热门搜索词 Top 10: 🥇 风筝 (21次) 🥈 电影 (21次) 🥉 曼达洛人 (12次) 4. 人鱼 (11次) 5. 2026 (9次) 6. 剧集 (9次) 7. 教程 (8次) 8. 九门 (7次) 9. 奥德赛 (7次) 10. 权利的游戏 (7次) 机器人:@AliYunPanBot

11 Aug 2026, 01:00 UTC718 viewsread 12 August 2026

📊 汇盘资源频道统计 统计周期:2026/08/10 - 2026/08/11 📈 新增投稿数量:130 热门搜索词 Top 10: 🥇 AI情色短剧 (50次) 🥈 边水往事 (19次) 🥉 九门 (13次) 4. 给阿嬷的情书 (12次) 5. 仙逆153 (12次) 6. 痴迷 (11次) 7. 龙之家族 (9次) 8. 异能 (7次) 9. 风起大漠 (7次) 10. 白月梵星 (6次) 机器人:@sharepan_bot

11 Aug 2026, 01:00 UTC655 viewsread 12 August 2026

📊 夸克资源频道统计 统计周期:2026/08/10 - 2026/08/11 📈 新增投稿数量:619 热门搜索词 Top 10: 🥇 九门 (149次) 🥈 天才女友 (59次) 🥉 龙之家族 (48次) 4. 莫离 (43次) 5. 蜘蛛侠 (40次) 6. 吞噬星空 (36次) 7. 痴迷 (32次) 8. 问心2 (31次) 9. 仙逆 (30次) 10. 4K (29次) 机器人:@QuarkRobot

11 Aug 2026, 01:00 UTC581 viewsread 12 August 2026

📊 阿里资源频道统计 统计周期:2026/08/10 - 2026/08/11 📈 新增投稿数量:28 热门搜索词 Top 10: 🥇 游戏 (27次) 🥈 剧集 (20次) 🥉 痴迷 (18次) 4. 软件 (18次) 5. 九门 (16次) 6. 梦想成为律师 (14次) 7. 龙之家族 (11次) 8. #PC (9次) 9. 仙逆 (8次) 10. 狄仁杰 (7次) 机器人:@AliYunPanBot

10 Aug 2026, 01:00 UTC814 viewsread 12 August 2026

📊 汇盘资源频道统计 统计周期:2026/08/09 - 2026/08/10 📈 新增投稿数量:162 热门搜索词 Top 10: 🥇 AI情色短剧 (39次) 🥈 九门 (29次) 🥉 电影 (29次) 4. 给阿嬷的情书 (23次) 5. #初中 (16次) 6. 猫样少女 (11次) 7. 权力的游戏 (11次) 8. 令人心动的offer5 (9次) 9. 剧集 (8次) 10. 非穷尽列举 (6次) 机器人:@sharepan_bot

10 Aug 2026, 01:00 UTC741 viewsread 12 August 2026

📊 夸克资源频道统计 统计周期:2026/08/09 - 2026/08/10 📈 新增投稿数量:732 热门搜索词 Top 10: 🥇 九门 (128次) 🥈 蜘蛛侠 (81次) 🥉 凡人修仙传 (69次) 4. 完美世界 (57次) 5. 仙逆 (52次) 6. 雀骨 (41次) 7. 奥德赛 (36次) 8. 黑暗荣耀 (33次) 9. 老九门 (33次) 10. 电影 (31次) 机器人:@QuarkRobot

10 Aug 2026, 01:00 UTC631 viewsread 12 August 2026

📊 阿里资源频道统计 统计周期:2026/08/09 - 2026/08/10 📈 新增投稿数量:36 热门搜索词 Top 10: 🥇 电影 (25次) 🥈 群体 (22次) 🥉 九门 (22次) 4. 仙逆 (17次) 5. 全智贤 (14次) 6. 蜘蛛侠 (13次) 7. 权力的游戏 (11次) 8. 猫样少女 (10次) 9. 异人之下 (10次) 10. windows11 (10次) 机器人:@AliYunPanBot

9 Aug 2026, 01:00 UTC905 viewsread 12 August 2026

📊 汇盘资源频道统计 统计周期:2026/08/08 - 2026/08/09 📈 新增投稿数量:130 热门搜索词 Top 10: 🥇 AI情色短剧 (72次) 🥈 给阿嬷的情书 (16次) 🥉 九门 (10次) 4. 九劫焚天 (10次) 5. 成人 (10次) 6. 择天记 (9次) 7. 完美世界281 (9次) 8. 夜王 (7次) 9. 凡人修仙传 (6次) 10. 完美世界九劫 (6次) 机器人:@sharepan_bot

9 Aug 2026, 01:00 UTC858 viewsread 12 August 2026

📊 夸克资源频道统计 统计周期:2026/08/08 - 2026/08/09 📈 新增投稿数量:511 热门搜索词 Top 10: 🥇 凡人修仙传 (119次) 🥈 完美世界 (104次) 🥉 九门 (93次) 4. 仙逆 (90次) 5. 蜘蛛侠 (65次) 6. 电影 (60次) 7. 雀骨 (58次) 8. 好团圆 (50次) 9. 九劫焚天 (44次) 10. 星际穿越 (43次) 机器人:@QuarkRobot

9 Aug 2026, 01:00 UTC757 views0 reactionsread 12 August 2026

📊 阿里资源频道统计 统计周期:2026/08/08 - 2026/08/09 📈 新增投稿数量:15 热门搜索词 Top 10: 🥇 蜘蛛侠 (21次) 🥈 九劫焚天 (13次) 🥉 Ai (13次) 4. 少年阿 (10次) 5. 升级 (10次) 6. 天才 (10次) 7. 九门 (10次) 8. 凡人修仙传 (10次) 9. 天才女友 (9次) 10. 蜘蛛侠英雄归来 (9次) 机器人:@AliYunPanBot

Showing the 12 most recent of 35 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.

Citation-graph rank

Citation-graph rank — 369,621 of 1,151,006entries 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.

Forward network

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.

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.

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 12 August 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), 111,861 subscribers as measured 12 August 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.