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Channel
亚洲新闻 曝光大事件
@LiBaibx
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
40,242subscribers
-2,986 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003272037385 |
|---|---|
| Type | Channel |
| Username | @LiBaibx |
| Description | 亚洲新闻 曝光大事件是聚焦亚洲区域重大真相揭露的深度资讯平台,以 “穿透表象、曝光核心” 为核心宗旨,聚焦亚洲各国未被充分披露的热点事件、行业黑幕、民生痛点与权力监督议题,通过调查式报道与事实还原,为受众提供有冲击力、有深度的真相洞察,打造亚洲区域极具公信力的曝光类新闻阵地。 曝光专线 @shengcaiyyds |
| Created | Between 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/LiBaibx |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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 |
|---|---|---|
| 19 Sept 2026, 17:01 | 40,242 | -85 |
| 17 Sept 2026, 05:21 | 40,327 | -83 |
| 15 Sept 2026, 06:57 | 40,410 | -52 |
| 13 Sept 2026, 16:15 | 40,462 | -154 |
| 11 Sept 2026, 18:18 | 40,616 | -414 |
| 9 Sept 2026, 05:21 | 41,030 | -235 |
| 5 Sept 2026, 23:56 | 41,265 | -152 |
| 3 Sept 2026, 18:01 | 41,417 | -136 |
| 2 Sept 2026, 06:48 | 41,553 | -52 |
| 1 Sept 2026, 09:59 | 41,605 | -83 |
| 31 Aug 2026, 07:05 | 41,688 | -61 |
| 30 Aug 2026, 06:28 | 41,749 | -68 |
| 29 Aug 2026, 03:47 | 41,817 | -54 |
| 28 Aug 2026, 02:46 | 41,871 | -20 |
| 27 Aug 2026, 02:24 | 41,891 | -46 |
| 26 Aug 2026, 03:02 | 41,937 | -72 |
| 25 Aug 2026, 01:35 | 42,009 | -152 |
| 23 Aug 2026, 17:17 | 42,161 | -107 |
| 22 Aug 2026, 03:34 | 42,268 | -53 |
| 20 Aug 2026, 21:03 | 42,321 | first reading |
Engagement
27 posts held, back to 17 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 85 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.8%
- avg views ÷ 40,242 subscribers
- Avg views / post
- 5,140
- 5 posts measured
- Reaction rate
- 0.023%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 27 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 1 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 27 (17 July 2026 – 23 September 2026) |
| Views total | 25,720 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 11:03 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
- ≈7,050
- Videos
- ≈1,900
- Links
- ≈790
Lifetime counters from Telegram’s own channel header, read 23 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.
Reaction mix
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 2 of the 27 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 17 July 2026 to 23 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
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
❤1
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
🔍 超级搜索 TG必备搜索神器,帮你精准找到,想要的群组,频道,视频,音乐。 👇👇 点击下方按钮,进行搜索!
#泰国 前反贪主席维拉举报新国会大厦存在65项工程问题,申请扣押15亿保证金,质疑预算违规维修泳池 2026年7月16日,维拉在国会广场召开发布会,针对新国会大厦提交65项工程缺陷投诉,要求扣押合计15亿泰铢履约保证金用于修缮。建筑多处存在质量隐患,超七成木地板规格不达标,工程存在违规分包情况,整体维修成本预估超十亿泰铢。他还抨击2027年预算计划拨款上亿维修漏水泳池,该问题本应由承包商免费处理,不该耗费税款。维拉揭露有公职人员遭施压调岗,警示公职人员坚守公利,同时起诉三名前议会秘书长,相关材料已提交反贪委员会核查。 大型公共建筑工程关乎财政资金合理使用,相关部门需全面核查工程质量与预算细则,依规处置承包商,守护纳税人资金不受无端损耗。
❤1
#泰国 呵叻六名少年预谋越狱出逃,锯断铁窗接连盗车逃窜,跨府逃逸最终全员落网 2026年7月16日凌晨,呵叻府一所少年管教所发生集体越狱事件。六名少年提前密谋策划,偷偷锯断监控室铁窗做好出逃准备,清晨趁工作人员开门瞬间集体冲出逃窜。随后一行人盗取学校皮卡车驱车跨府逃亡,逃窜途中又偷窃村民两辆摩托车代步。警方接报后迅速设卡拦截、跨区域联动追查,最终在猜也奔府将六名少年全部抓获。目前全员已被押回警局,将依法依规接受后续惩戒与教育处置。 未成年群体集体越狱、多次盗窃属于严重违法行为。管教机构需强化安防管理与心理引导,矫正不良认知,杜绝青少年再次出现违法出逃行为。
Showing the 12 most recent of 27 posts we hold for @LiBaibx. 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“亚洲新闻 曝光大事件” (@LiBaibx), 40,242 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/LiBaibx.
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.