#国内新闻 湖南女主播网恋被骗140万 涉事男子已被刑拘 湖南娄底一名“80后”自媒体音乐博主杨女士,自丈夫2016年去世后独自抚养两个孩子。2024年5月,一名常看她直播的男子主动接近,约3个月后两人确立恋爱关系。 该男子自称比杨女士小6岁,在娄底及外地经商。自2024年底起,他以“酒后打伤他人需赔偿”“生意资金周转”等借口频繁索要钱款。杨女士称,从2024年10月至2026年8月,她累计转出约140万元,其中80多万元为贷款,10多万元系个人积蓄,其余为向亲友借款。 2026年8月,亲友察觉异常后提醒她可能受骗,并在男子再次上门时将其控制并报警。男子承认使用虚假姓名和身份信息交往,钱款已被挥霍。9月23日,娄底警方确认该男子已被刑事拘留,具体涉案金额仍在核查中。

Channel
东南亚大事件·头条新闻
@w2uuu
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
107,023subscribers
+53,616 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002283823270 |
|---|---|
| Type | Channel |
| Username | @w2uuu |
| Description | #东南亚 #柬埔寨 #金三角 #菲律宾 #泰国 #迪拜 #缅甸 #老挝 #马来西亚 #斯里兰卡 每日最新生活资讯 狗推日记 行业新闻 吃瓜曝光 币圈资讯 突发事件 商业服务 资源对接...让您看尽东南亚大小事。 💠【头条新闻】 @w2uuu ♨️【PG博彩】 @g222y 🇨🇳【灰产交流】 @wlooo ✅【NFT礼物】 @d9zzz 🇨🇦【音乐频道】 @xdjt5 🇱🇦【高速代理】 @xdjt2 投稿澄清曝光广告商务联系 @BQHHH |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/w2uuu |
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 58% 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 |
|---|---|---|
| 25 Sept 2026, 09:56 | 107,023 | -484 |
| 19 Sept 2026, 00:01 | 107,507 | -171 |
| 16 Sept 2026, 15:02 | 107,678 | -134 |
| 14 Sept 2026, 17:21 | 107,812 | -137 |
| 13 Sept 2026, 06:37 | 107,949 | -293 |
| 11 Sept 2026, 09:40 | 108,242 | -634 |
| 8 Sept 2026, 16:22 | 108,876 | +15,986 |
| 5 Sept 2026, 12:37 | 92,890 | +11,852 |
| 3 Sept 2026, 16:55 | 81,038 | +3,998 |
| 2 Sept 2026, 06:34 | 77,040 | -194 |
| 1 Sept 2026, 09:24 | 77,234 | +14,740 |
| 31 Aug 2026, 08:44 | 62,494 | +14,917 |
| 30 Aug 2026, 05:13 | 47,577 | -67 |
| 29 Aug 2026, 07:04 | 47,644 | -64 |
| 28 Aug 2026, 07:28 | 47,708 | -36 |
| 27 Aug 2026, 08:44 | 47,744 | +793 |
| 26 Aug 2026, 05:57 | 46,951 | -312 |
| 25 Aug 2026, 03:44 | 47,263 | -112 |
| 24 Aug 2026, 00:37 | 47,375 | -267 |
| 22 Aug 2026, 08:05 | 47,642 | first reading |
Engagement
1,309 posts held, back to 7 August 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 133 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.543%
- avg views ÷ 107,023 subscribers
- Avg views / post
- 581
- 517 posts measured
- Reaction rate
- 0.2%
- reactions ÷ views · ER floor
- Posts in window
- 517
- of 1,309 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 12 of 517 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 1,309 (7 August 2026 – 27 September 2026) |
| Views total | 300,320 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 11:55 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
- ≈11,800
- Videos
- ≈5,980
- Links
- ≈4,850
Lifetime counters from Telegram’s own channel header, read 27 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.
- Video runtime
- 1h 57m
- Average length
- 12s
Measured directly from 612 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
91,456 reactions across 48 posts, in 10 distinct kinds. The most used accounts for 11.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 10,336 | 11.3% | |
| 🔥 | 10,300 | 11.3% | |
| 🤩 | 10,280 | 11.2% | |
| 🎉 | 10,188 | 11.1% | |
| 😍 | 10,149 | 11.1% | |
| 👍 | 10,134 | 11.1% | |
| 🥰 | 10,107 | 11.1% | |
| 💯 | 10,089 | 11.0% | |
| ❤ | 9,871 | 10.8% | |
| 👏 | 2 | 0.002% |
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 49 of the 1,000 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 91,456 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 12 August 2026 to 27 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
#泰国洪灾 曼谷全市50区被列为洪水灾区 曼谷市长差察·西迪汶于当地时间9月26日宣告,全市50个区均划入洪水灾区范围。 过去48小时不间断的强降雨导致曼谷出现大面积内涝,交通受阻,多处路段积水严重。政府已开放学校等设施作为临时安置点,同时加快排涝进度并发放沙袋,推进救灾事宜。 泰国气象部门发出预警,曼谷及邻近地区还将迎来强降雨,需警惕山洪和滑坡灾害。
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Showing the 12 most recent of 1,309 posts we hold for @w2uuu. 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.
@tytj182ty · 3,138286 posts🔥 182体育 福利频道(PG电子)
@vip182ty · 9,281286 posts球速体育 赌王之王-PG电子/麻将胡了/捕鱼/百家乐/
@PG012456 · 8,197282 posts球速体育 精准赛事推荐、足球、NBA篮球|世界杯
@qsty789 · 2,370282 postsY3国际 赛事推荐、nba篮球、足球|世界杯
@Y3GJTYTJ · 3,051277 postsY3国际u台福利频道、PG电子、真人百家乐
@Y3vip18 · 4,697277 posts182体育 招商中心、诚招代理合作共赢
@HY182TY · 89215 posts球速体育 招商中心、55%—70%佣金诚招代理合作共赢
@QSTY166 · 5,892208 postsY3国际 官方频道
@ai038 · 1,997205 postsN1官方频道
@N1GFFL · 5,08774 posts2028官方频道
@FLPD2028 · 5,01773 posts8K国际官方福利频道
@VIP8KFL · 5,07471 postsJ.VIP官方频道 担保200万美金
@jvip888 · 3,57429 posts海搜🔍资源搜索@haisou
@haisou · 1,019,9182 posts海搜官方频道
@haisou1 · 17,2092 posts海搜大世界
@haisou2 · 11,5752 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@w2uuu named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 16 posts, 4 September 2026 – 23 September 2026
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件·头条新闻” (@w2uuu), 107,023 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/w2uuu.
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.