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Telegram profile photo for 柬埔寨/东南亚/大事件曝光生活资讯攻略

Channel

柬埔寨/东南亚/大事件曝光生活资讯攻略

@tingyu00002

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

20,712subscribers

+3,212 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003128700055
TypeChannel
Username@tingyu00002
Description触犯政治,黄色,广告被踢除无法再进群 互助工作聊天群:https://t.me/tingyu00001 日常吹水吹牛逼:https://t.me/tingyu0001 迪拜大事件:https://t.me/tingyu0002 柬埔寨大事件:https://t.me/tingyu00002 听雨鉴黄:https://t.me/tingyu0091 曝光联系:@Tingyukaka02 甩人联系:@Tingyukaka01 删除曝光:@Tingyukaka02 广告联系:@Tingyukaka02
CreatedBetween 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held37
Confirmed unchanged5 times, most recently 5 November 2026
On Telegramt.me/tingyu00002

Topic

Gambling & betting — 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 12 September 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 the other topics.

Growth

96920,87710,9237 August 2026 — 17,500 subscribers7 August 2026 — 17,500 subscribers8 August 2026 — 17,282 subscribers9 August 2026 — 16,819 subscribers10 August 2026 — 15,814 subscribers11 August 2026 — 15,516 subscribers12 August 2026 — 15,345 subscribers12 August 2026 — 14,915 subscribers14 August 2026 — 14,175 subscribers15 August 2026 — 13,874 subscribers17 August 2026 — 12,482 subscribers18 August 2026 — 12,017 subscribers19 August 2026 — 11,781 subscribers20 August 2026 — 11,652 subscribers21 August 2026 — 11,570 subscribers22 August 2026 — 11,046 subscribers24 August 2026 — 10,536 subscribers25 August 2026 — 10,306 subscribers26 August 2026 — 10,174 subscribers27 August 2026 — 10,135 subscribers28 August 2026 — 9,613 subscribers31 August 2026 — 8,246 subscribers4 September 2026 — 7,394 subscribers9 September 2026 — 6,728 subscribers13 September 2026 — 4,602 subscribers17 September 2026 — 3,214 subscribers25 September 2026 — 2,174 subscribers4 October 2026 — 1,907 subscribers11 October 2026 — 1,334 subscribers14 October 2026 — 1,128 subscribers18 October 2026 — 969 subscribers25 October 2026 — 20,877 subscribers26 October 2026 — 20,875 subscribers28 October 2026 — 20,870 subscribers30 October 2026 — 20,769 subscribers31 October 2026 — 20,770 subscribers1 November 2026 — 20,712 subscribers20,7127 August 20261 November 2026
37 measurements spanning 86 days, net +3,212. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)SubscribersChange
1 Nov 2026, 16:5820,712-58
31 Oct 2026, 17:5720,770+1
30 Oct 2026, 19:0720,769-101
28 Oct 2026, 21:5020,870-5
26 Oct 2026, 14:5720,875-2
25 Oct 2026, 13:2520,877+19,908
18 Oct 2026, 02:27969-159
14 Oct 2026, 22:591,128-206
11 Oct 2026, 06:011,334-573
4 Oct 2026, 22:221,907-267
25 Sept 2026, 23:172,174-1,040
17 Sept 2026, 12:573,214-1,388
13 Sept 2026, 03:394,602-2,126
9 Sept 2026, 13:006,728-666
4 Sept 2026, 00:147,394-852
31 Aug 2026, 20:488,246-1,367
28 Aug 2026, 11:469,613-522
27 Aug 2026, 10:5510,135-39
26 Aug 2026, 10:0810,174-132
25 Aug 2026, 09:1810,306first reading

Engagement

256 posts held, back to 5 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 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.033%
avg views ÷ 20,712 subscribers
Avg views / post
6.7
42 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
42
of 256 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 November 2026
Posts held256 (5 August 2026 – 6 November 2026)
Views total283
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 03:04 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
≈5,110
Videos
≈1,920
Links
≈2,800

Lifetime counters from Telegram’s own channel header, read 6 November 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
16m 52s
Average length
32s

Measured directly from 32 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

3 reactions across 3 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 3 of the 256 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 256 most recent posts we hold, published 5 August 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 5 of 42 posts held from the last 30 days (11.9%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 03:00 UTC2 viewsread 6 November 2026
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5 Nov 2026, 22:02 UTC3 viewsread 6 November 2026
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5 Nov 2026, 09:24 UTC8 viewsread 6 November 2026
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#柬埔寨 #盘总 #东南亚盘总 柬埔寨黄山国际酒店物业园区股东,太子集团刘忍团伙成员、核心骨干成员,湖北刘丰。刘丰此人早期前往柬埔寨加入刘忍犯罪集团,长期盘踞柬埔寨各大诈骗园区开设盘口。 这只是其中一件的事情经过他之前在8号园区做美股的时候,手上也有人命,手底下巅峰时期曾经容留扣押了1,000多名电诈人员,累计诈骗金额,高达十几亿。 他手下养着一大批马仔,长期组织手下人员从国内以骗招的方式高薪招聘人员前往柬埔寨。 他们打着柬埔寨高薪招聘电信专家以及模特的旗号,把人骗去柬埔寨后,让司机在金边机场接到受害人后,安排司机将人员直接送去各大园区刘丰旗下的电诈公司从事电信诈骗。 对于那些没有利用价值的人员,就会被刘丰手下安排转卖去拜林二期电诈园区。目前,他长期盘踞在马来西亚或者香港这两个地方买卖人口,打人虐待、非法拘禁,这些对他都是家常便饭。 销户人员是在8号园区的时候体罚拷打失手销户的,老婆孩子在新加坡贵族学校长期盘据马来西亚、香港等…

5 Nov 2026, 09:24 UTC7 viewsread 6 November 2026
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5 Nov 2026, 09:24 UTC7 viewsread 6 November 2026
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#网友投稿:今天凌晨缅甸果敢老街银丰路又拉走一车推推,估计是钱没交到位,被摁了。 ➖➖➖🔥🔥🔥🔥🔥➖➖➖ ✍投稿文案找光年:@Tingyukaka02 🛎广告招商:@Tingyukaka02 ✅订阅频道:@tingyu0002 东南亚听雨互助:@tingyu00001 柬埔寨东南亚频道:@tingyu00002

5 Nov 2026, 09:24 UTC6 viewsread 6 November 2026
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缅北万海最大黑园区老板刘少燚,3年销户多人,手段极其残忍。 随便一个钱包就有1,300万USD. 在缅甸善邦莱林县莱卡镇区交界处塔莫村附近的密林深处,藏着一座关押500多名电诈人员的电诈工厂,其中还有大量未成年人。 园区幕后老板是龙岩新罗籍的刘少燚。刘少燚从2015年开始在国内搞电诈,后来发展到马来西亚。 马来西亚合伙人付卫炫累计诈骗金额,高达十几亿。他手下养着一大批马仔,对外以蛇头身份专门帮人安排偷渡。受害者交了钱上路后,就会被这些人直接绑架武装押送到深山园区。 还有一些人是被高薪招聘骗过去。他们打着佤邦邦康县城高薪招聘电信专家的旗号,先安排人住酒店吃喝玩乐几天。到了凌晨5点,又借口吃早餐把人叫起来。人一上车,就直接强压到万海地狱。 之前的窝点虽然被端掉过,但核心人员很快又转移到了目前这座山头继续干这件事。仅仅3年时间,已经有25名电诈人员在这里遭到销户。 园区里的人天天挨打受折磨,刘少燚却在香港过着有钱人的日子。核心知情人透…

5 Nov 2026, 07:33 UTC5 viewsread 6 November 2026
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5 Nov 2026, 06:40 UTC5 viewsread 6 November 2026
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5 Nov 2026, 05:40 UTC5 viewsread 6 November 2026
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5 Nov 2026, 04:04 UTC4 viewsread 6 November 2026
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5 Nov 2026, 03:02 UTC6 viewsread 6 November 2026
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4 Nov 2026, 22:00 UTC7 viewsread 6 November 2026
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Showing the 12 most recent of 256 posts we hold for @tingyu00002. 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 4 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.

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 1 November 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨/东南亚/大事件曝光生活资讯攻略” (@tingyu00002), 20,712 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/tingyu00002.

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.