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Channel
虎牙新闻/东南亚大事件
@huya66666
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
48,305subscribers
-7,230 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002469609320 |
|---|---|
| Type | Channel |
| Usernames | @huya66666 @huyaxinwen |
| Description | 东南亚大事件 @huya66666 👉全网曝光跑路事件,疑难杂症来问我 👉本频道只负责相关发布信息,真假自行甄别 ☎️曝光 悬赏 广告: @huyaboss 为全球华人分享,一起看最新的曝光跑路事件~ Hello @Telegram My channel has not violated the rules and policy of using Telegram. |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 49 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/huya66666 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 14:36 | 48,305 | -17 |
| 8 Sept 2026, 06:00 | 48,322 | -720 |
| 5 Sept 2026, 06:57 | 49,042 | no change |
| 5 Sept 2026, 03:21 | 49,042 | -88 |
| 3 Sept 2026, 10:11 | 49,130 | -75 |
| 3 Sept 2026, 06:18 | 49,205 | -181 |
| 2 Sept 2026, 05:28 | 49,386 | no change |
| 1 Sept 2026, 22:58 | 49,386 | -412 |
| 1 Sept 2026, 07:27 | 49,798 | -417 |
| 31 Aug 2026, 20:14 | 50,215 | -142 |
| 31 Aug 2026, 06:04 | 50,357 | no change |
| 30 Aug 2026, 22:15 | 50,357 | -81 |
| 30 Aug 2026, 08:33 | 50,438 | -17 |
| 29 Aug 2026, 23:34 | 50,455 | -92 |
| 29 Aug 2026, 06:47 | 50,547 | no change |
| 28 Aug 2026, 22:25 | 50,547 | -107 |
| 28 Aug 2026, 03:43 | 50,654 | no change |
| 28 Aug 2026, 00:18 | 50,654 | -32 |
| 27 Aug 2026, 01:25 | 50,686 | no change |
| 27 Aug 2026, 00:44 | 50,686 | first reading |
Engagement
43 posts held, back to 14 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 67 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.069%
- avg views ÷ 48,305 subscribers
- Avg views / post
- 33.4
- 23 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 23
- of 43 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.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 43 (14 July 2026 – 7 September 2026) |
| Views total | 768 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Sept 2026, 22:04 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
- ≈13,600
- Videos
- ≈3,090
- Links
- ≈2,120
Lifetime counters from Telegram’s own channel header, read 8 September 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.
Recent posts
— 专业索引工具 · 整合海量信息资源 — 索引机器 @SUOBOT|@SYJQ 专业的信息索引与搜索平台,能帮你快速发现、重要资讯,出海推广营销助手!telegram频道、群组、视频等内容收录检索。
频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1002469609320_7239173889_groups_fb45cd55
刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。
— 创作者中心 · 发视频赚USDT — 将超级引擎 @CJYQ 设置成管理员可收录您的频道/群组/让您的视频内容展现在小程序曝光获得流量 👇点击按钮体验视频号MiniApp吧👇
— 专业索引工具 · 整合海量信息资源 — 索引机器 @SUOBOT|@SYJQ 专业的信息索引与搜索平台,能帮你快速发现、重要资讯,出海推广营销助手!telegram频道、群组、视频等内容收录检索。
— 专业索引工具 · 整合海量信息资源 — 索引机器 @SUOBOT|@SYJQ 专业的信息索引与搜索平台,能帮你快速发现、重要资讯,出海推广营销助手!telegram频道、群组、视频等内容收录检索。
在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。
SOSO 搜搜 把 Telegram 搜索和发现放在一个入口。 想继续找频道、群组、帖子或贴纸,直接输入关键词。 也可以从发现页继续浏览同类入口。
新群变化快,手动找很容易漏。 SOSO 会展示最近同步的新群入口,适合快速补充新的群组来源。
— 专业索引工具 · 整合海量信息资源 — 索引机器 @SUOBOT|@SYJQ 专业的信息索引与搜索平台,能帮你快速发现、重要资讯,出海推广营销助手!telegram频道、群组、视频等内容收录检索。
— 专业索引工具 · 整合海量信息资源 — 索引机器 @SUOBOT|@SYJQ 专业的信息索引与搜索平台,能帮你快速发现、重要资讯,出海推广营销助手!telegram频道、群组、视频等内容收录检索。
Showing the 12 most recent of 43 posts we hold for @huya66666. 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 1 registered channel — 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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“虎牙新闻/东南亚大事件” (@huya66666), 48,305 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/huya66666.
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.