Channel
@heikuangchang
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
483subscribers
-8 since we began measuring on 11 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001626485592 |
|---|---|
| Type | Channel |
| Username | @heikuangchang |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 October 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/heikuangchang |
Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 28 October 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 21:57 | 483 | -2 |
| 28 Oct 2026, 01:01 | 485 | -4 |
| 21 Oct 2026, 14:59 | 489 | -1 |
| 14 Oct 2026, 00:44 | 490 | -1 |
| 11 Oct 2026, 23:22 | 491 | no change |
| 11 Oct 2026, 22:47 | 491 | first reading |
20 posts held, back to 11 October 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 1 page of 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.
| Window | Rolling 30 days · latest post in window 11 October 2026 |
|---|---|
| Posts held | 20 (11 October 2026 – 11 October 2026) |
| Views total | 29 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Oct 2026, 23:22 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.
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名称：非正常超市：异界来客&非正常超市异界来客（205集）AI短剧 描述：最新人气热门短剧《非正常超市：异界来客&非正常超市异界来客（205集）AI短剧》,剧集剧情紧凑不拖沓，反转看点接连不断，各类角色人设鲜明立体、刻画饱满。上线后口碑持续走高，全网讨论不断，掀起大范围追剧热潮。 链接： 🔗 夸克：https://pan.quark.cn/s/1f811c47fd9d 📁 大小：N 🏷 标签：#非正常超市异界来客 #短剧
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名称：林小妹重返九零年代第三季（146集）AI短剧 描述：时光的褶皱里，九零年代正泛着温润的光。林小妹携前世记忆重返故土，这一次，她不再是初来乍到的旁观者。面对旧日对手的步步紧逼，她以先见之明布下棋局，在商海沉浮中握住时代脉搏。当亲情与利益交织，当爱情与抉择碰撞，她以柔韧之姿破局而出。岁月流转，初心未改，看林小妹如何在时代的浪潮中，书写属于自己的传奇终章。 链接： 🔗 夸克：https://pan.quark.cn/s/089f9b014d1e 📁 大小：N 🏷 标签：#林小妹重返九零年代第三季 #短剧
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名称：师父别装了你的管理员身份暴露了（67集）AI短剧 描述：深夜，扫地僧模样的师父指尖掠过键盘，代码如剑光流转——他竟是隐藏的系统管理员！徒弟撞破惊天秘密，AI世界数据洪流暗潮涌动。师徒二人被卷入虚拟与现实的惊天阴谋，昔日温情化为致命博弈。当真相如雪崩般倾覆，师父的每一次沉默都预示着终极对决。身份暴露，是救赎还是毁灭？67集悬念迭起，带你窥见AI世界的终极真相。 链接： 🔗 夸克：https://pan.quark.cn/s/a7102d84c940 📁 大小：N 🏷 标签：#师父别装了你的管理员身份暴露了 #短剧
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名称：麦羹扶砚上青云一品厨娘状元归第二季（122集）AI短剧 描述：烟火淬刀锋，麦香扶砚台。她以一双素手调尽人间至味，从乡野灶台走向巍巍朝堂。第二季风云再起，状元归乡，旧案未平，新局已布。她以羹汤为剑，以麦香为墨，在权谋与深情间烹出青云之路。一百二十二集长卷，看一品厨娘如何以食为谋，辅佐良人，于刀光剑影中守住初心，终得功名与爱两全。 链接： 🔗 夸克：https://pan.quark.cn/s/3b21d6b6d910 📁 大小：N 🏷 标签：#麦羹扶砚上青云一品厨娘状元归第二季 #短剧
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名称：契约战神妃第二季（50集）AI短剧 描述：她，是身负血仇的落魄千金；他，是权倾天下的神秘战神。一纸契约，让她成为他名义上的王妃，却不知这场交易背后，藏着更深的宿命羁绊。当阴谋如暗潮涌动，她以智谋破局，他以铁血护航。从互相试探到生死相托，从契约夫妻到灵魂共鸣，他们在刀光剑影中淬炼真情，在权谋漩涡中逆风翻盘。五十集爱恨交织，看契约王妃如何步步为营，与战神共赴一场惊世之约。 链接： 🔗 夸克：https://pan.quark.cn/s/4e3c361ca4a5 📁 大小：N 🏷 标签：#契约战神妃第二季 #短剧
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名称：农场萌宠3D版（110集）AI短剧 描述：晨雾轻笼翠谷，3D农场里住着一群性格迥异的萌宠——傲娇的橘猫、憨萌的柯基、机灵的小羊驼。它们每天上演着爆笑又温暖的日常：争夺阳光最好的草垛、密谋偷尝蜂蜜的“犯罪计划”、在暴风雨夜互相依偎。当神秘访客带来科技种子，萌宠们用纯真与勇气守护家园，解锁超乎想象的进化形态。110集治愈系狂欢，每一帧都萌化人心，带你重返无忧无虑的田园童话。 链接： 🔗 夸克：https://pan.quark.cn/s/4584d72f9073 📁 大小：N 🏷 标签：#农场萌宠3D版 #短剧
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Showing the 12 most recent of 20 posts we hold for @heikuangchang. 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.
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“矿场频道” (@heikuangchang), 483 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/heikuangchang.
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.