Telegram RegisterThe public register of Telegram

Channel

东南亚吃瓜爆料

@pu599

2 usernames

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

24,154subscribers

-101 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-1002539460326
TypeChannel
Usernames@ofutt @pu599
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held12
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/pu599

Growth

24,15424,27124,212.57 August 2026 — 24,255 subscribers7 August 2026 — 24,255 subscribers8 August 2026 — 24,256 subscribers8 August 2026 — 24,262 subscribers9 August 2026 — 24,263 subscribers10 August 2026 — 24,267 subscribers10 August 2026 — 24,270 subscribers10 August 2026 — 24,271 subscribers11 August 2026 — 24,265 subscribers11 August 2026 — 24,240 subscribers12 August 2026 — 24,212 subscribers13 August 2026 — 24,154 subscribers7 August 202613 August 2026
12 measurements spanning 5 days, net -101. 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”. The vertical axis spans 24,136–24,289 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 02:3324,154-58
12 Aug 2026, 10:1524,212-28
11 Aug 2026, 23:5224,240-25
11 Aug 2026, 10:2424,265-6
10 Aug 2026, 21:2724,271+1
10 Aug 2026, 08:4024,270+3
10 Aug 2026, 00:4124,267+4
9 Aug 2026, 06:1124,263+1
8 Aug 2026, 22:2024,262+6
8 Aug 2026, 04:2224,256+1
7 Aug 2026, 18:3024,255no change
7 Aug 2026, 18:1824,255first reading

Engagement

116 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.70%
avg views ÷ 24,154 subscribers
Avg views / post
652
116 posts measured
Reaction rate
0.036%
reactions ÷ views · ER floor
Posts in window
116
of 116 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 4 of 116 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held116 (7 August 202612 August 2026)
Views total75,635
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 22:38 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

Video runtime
28m 31s
Average length
44s

Measured directly from 39 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 4 of the 116 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 116 most recent posts we hold, published 7 August 2026 to 12 August 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

12 Aug 2026, 22:21 UTC2 viewsread 12 August 2026
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Id:HangG63 白嫖怪 公司在缅甸将军山新营地 有认识的吗 几个月前嫖娼不给钱 拖几个月了 各种各样的的理由拖 毫无诚信可言 白嫖男 真名高海 身份证号:511827200412211615 四川省雅安市宝兴县 国内手机号13568746761 此人长期国外从事网络诈骗 目前在缅甸将军山新营地园区敲键盘 国内已派人准备举报此人 园区的老板小心此人将被举报 相信过两天国内警察会联系找到他的家里人

12 Aug 2026, 15:06 UTC≈1,520 viewsread 12 August 2026
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🇲🇾 马来西亚“森林城市”成电诈新窝点 警方突袭逮捕335人 据BBC报道,马来西亚柔佛州“森林城市”(Forest City)投资千亿美元,因入住率不足一半,曾呈半废弃状态。该项目高空置率、现代化设施及隐蔽性,吸引跨国诈骗集团入驻。 当地警方7月中旬突袭森林城市内32处场所的两个电诈窝点,逮捕335人(含309名中国籍),查获1500余部手机及300余台电脑等工具。 专家指出,与柬埔寨或缅甸强迫劳动式园区不同,此处诈骗团伙多租用高档公寓和平房运作,显示诈骗活动趋向隐蔽化、专业化与商业化。 ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 15:05 UTC≈1,660 viewsread 12 August 2026
Video

#东南亚吃瓜爆料:郑重推出《东南亚系列主题歌》 第一首作品《东南亚爱情故事》已上线。这些年,我们漂泊在东南亚的土地上,有过梦想、有过热血,也经历过迷茫、孤独和离别。 金边、西港、波贝、曼谷……那些走过的城市,遇见的人,经历的故事,都将成为这组系列歌曲里的记忆。 后续歌曲将陆续推出,以音乐记录这段岁月,把属于我们的青春、漂泊与感悟留下来。欢迎提供故事、题材或想法,共同完成“东南亚系列主题歌”。 无论未来走向何方,这些异国经历均不虚此行。请多支持,共同见证此系列! ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 14:05 UTC≈1,710 viewsread 12 August 2026
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#群友反馈:老挝万象雅典饭店行动已结束,已逮捕多人,目前正开始装车转移。 ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 11:24 UTC64 viewsread 12 August 2026
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🇺🇸美国FBI局长披露“黑夜行动”成果 在特朗普总统领导下,联邦调查局开展代号为“黑夜行动”(Operation Blackout)的行动,针对全球诈骗网络。该行动已取得以下成果: → 查扣价值152亿美元的非法资产 → 捣毁数十个诈骗中心 → 逮捕数百名犯罪分子 → 解救数千名人口贩运受害者 → 关闭7500多个互联网终端 → 向近9000名潜在受害者发出预警 → 避免约5.62亿美元的潜在损失 这些诈骗中心为跨国犯罪组织,涉及人口贩运、洗钱,并针对美国人实施诈骗。 ——联邦调查局局长卡什·帕特尔 ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 11:17 UTC≈1,050 viewsread 12 August 2026
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The provided text contains factually incorrect information regarding a future event that has not occurred. ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 10:46 UTC29 viewsread 12 August 2026
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#国内资讯:广东梅州公安侦破特大虚假助贷诈骗案,抓获106人,涉案金额380余万元! 广东省公安厅8月4日通报:梅州市公安机关近日成功打掉一个利用“线上+线下”模式实施虚假助贷的新型诈骗团伙,彻底捣毁“信息端—引流端—线下端—话务端”完整犯罪链条,抓获犯罪嫌疑人106人,涉案金额380余万元。 经查,该团伙假借银行名义向全国发送虚假贷款信息引流,重点针对重疾人员、老年人、失业人员等群体进行话术引导,再推送至本地线下“助贷公司”。线下公司以合法注册和正规办公场所包装身份,虚构贷款渠道、内部审批和低利率资质,向群众收取网贷金额25%的“风险管理金”,实为代办普通信贷业务。 对大额贷款需求者,团伙明知无法办理仍收取1%至2%资料费,后以未通过审核为由拒绝,全程无特殊渠道、无真实服务、无合法收费依据。群众报警后,团伙退还部分费用,伪装民事纠纷掩盖诈骗事实。 目前,相关嫌疑人已被依法采取刑事强制措施,案件正在进一步侦办。 ☎️

12 Aug 2026, 10:40 UTC≈1,240 viewsread 12 August 2026
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#缅甸局势:掸邦北部孟密 缅甸军方昨日使用榴弹炮、无人机投弹及战斗机突袭娘尼村。 袭击于8月11日下午2点左右开始,以清剿行动为主,缅甸军方单方面开火,可闻重型武器与枪声,空袭仅进行一次射击。 由于军方单方面开火,附近居民逃往孟密娘尼,目前尚不清楚是否有人员伤亡。 克钦独立军(KIA)和掸邦军(SSPP)在娘尼村附近活动,据称军方开火旨在迫使其撤离,但掸邦媒体无法独立证实。 ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 10:10 UTC23 viewsread 12 August 2026
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#菲律宾资讯:又一名绑架犯罪嫌疑人被遣返 8月8日,中国和菲律宾两国执法部门合作,将涉嫌在菲律宾绑架中国公民的犯罪嫌疑人樊某某遣返。樊某某在菲律宾居住多年,曾从事网络赌博,后加入施某某团伙,多次参与绑架犯罪。 中国警方表示,将依法追捕针对中国公民的犯罪分子,并将其缉拿归案。 ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 10:00 UTC20 viewsread 12 August 2026
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#小姐姐爆料:刘豪杰(凯文),四川成都人。曾在西港黄乐园区创亿集团担任总监,在国内通缉信息中已有记录。 本人因感情关系,自2023年9月起累计转账近100万元人民币。截至目前,对方归还金额不足1万元。该款项均为个人劳动所得。 已保留全部转账记录与聊天记录。若3天内未取得联系,将依法在国内立案处理。 将通过合法途径追索款项,并避免对方继续实施类似行为。 ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 08:49 UTC30 viewsread 12 August 2026
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#缅甸资讯:妙瓦底打击鱼机赌博游戏厅行动进展 8月11日,克仁邦议会副主席吴埃敏推在议会上质询,指出妙瓦底市区内开设的大量鱼机赌博游戏厅不仅产生噪音干扰居民、败坏青少年品行与学业,还成为毒品交易及盗抢犯罪分子藏匿场所,并询问当局是否有专项取缔计划。 对此,克仁邦安全与边境事务部长索莫温上校回应:截至8月4日,当地联合军警及相关部门通过突击检查和情报搜集,共立案查处鱼机赌博案件13起,抓获嫌疑人164人(男99人、女65人),缴获赌资2,595,000缅元及79台游戏机。 当局表示将继续联合各方加强情报搜集与打击力度,彻底清除市内鱼机赌博活动。 ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

12 Aug 2026, 08:30 UTC3 viewsread 12 August 2026
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#柬埔寨资讯:查获112起强迫卖淫案 救出581名受害者 柬埔寨打击人口贩运国家委员会报告显示,2026年前六个月,警方破获人口贩运及强迫卖淫案件112起,同比增长13.13%。成功救出581名受害者(含333名女性),并将169名嫌疑人(含34名外籍人员)移交法办。 ☎️ 免费爆料投稿找:@Pu551 👨‍👨‍👧‍👧 东南亚吃瓜爆料:@Pu599

Showing the 12 most recent of 116 posts we hold for @pu599. 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.

Citation-graph rank

Citation-graph rank — 463,582 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“东南亚吃瓜爆料” (@pu599), 24,154 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/pu599.

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.