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Channel

迪拜大事件曝光

@PPA633

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

51,282subscribers

-31,614 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-1001602513124
TypeChannel
Username@PPA633
Description本频道只负责相关发布信息,真假自行甄别 #迪拜 #泰国 #菲律宾 #柬埔寨 #缅甸 #中国 #老挝 #斯里兰卡 #新闻资讯 #博彩 🇲🇲缅甸新闻亚太大事件 @TTC9988 🇰🇭柬埔寨大事件 @JPZ963 🇹🇭泰国新闻大事件 @BGM9897 🇦🇪迪拜大事件曝光 @PPA633 🌸 反差|绿帽|乱伦|萝莉 @bgxs1450s ☎️广告投放 : @PPW881
CreatedBetween 1 November 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live28 October 2026
Measurements held52
Confirmed unchanged1 time, most recently 28 October 2026
On Telegramt.me/PPA633

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

50,31682,89666,6067 August 2026 — 82,896 subscribers7 August 2026 — 82,852 subscribers9 August 2026 — 82,303 subscribers10 August 2026 — 81,852 subscribers11 August 2026 — 81,427 subscribers12 August 2026 — 81,176 subscribers13 August 2026 — 80,982 subscribers14 August 2026 — 80,481 subscribers15 August 2026 — 80,163 subscribers17 August 2026 — 79,489 subscribers18 August 2026 — 79,122 subscribers19 August 2026 — 78,730 subscribers20 August 2026 — 77,052 subscribers21 August 2026 — 76,509 subscribers22 August 2026 — 75,907 subscribers24 August 2026 — 75,398 subscribers25 August 2026 — 74,906 subscribers26 August 2026 — 74,470 subscribers27 August 2026 — 74,149 subscribers28 August 2026 — 73,816 subscribers29 August 2026 — 73,274 subscribers30 August 2026 — 72,864 subscribers31 August 2026 — 72,592 subscribers1 September 2026 — 70,634 subscribers2 September 2026 — 72,562 subscribers3 September 2026 — 71,743 subscribers5 September 2026 — 70,657 subscribers8 September 2026 — 71,118 subscribers11 September 2026 — 73,026 subscribers13 September 2026 — 71,663 subscribers14 September 2026 — 70,719 subscribers16 September 2026 — 68,214 subscribers19 September 2026 — 70,594 subscribers25 September 2026 — 67,214 subscribers4 October 2026 — 63,536 subscribers8 October 2026 — 63,153 subscribers13 October 2026 — 62,112 subscribers14 October 2026 — 61,519 subscribers15 October 2026 — 60,773 subscribers16 October 2026 — 59,371 subscribers17 October 2026 — 56,733 subscribers18 October 2026 — 56,607 subscribers19 October 2026 — 52,902 subscribers20 October 2026 — 51,813 subscribers21 October 2026 — 51,166 subscribers22 October 2026 — 50,395 subscribers23 October 2026 — 50,316 subscribers24 October 2026 — 52,704 subscribers25 October 2026 — 52,308 subscribers26 October 2026 — 51,932 subscribers27 October 2026 — 51,650 subscribers28 October 2026 — 51,282 subscribers51,2827 August 202628 October 2026
52 measurements spanning 82 days, net -31,614. 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 45,429–87,783 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)SubscribersChange
28 Oct 2026, 09:5851,282-368
27 Oct 2026, 12:0451,650-282
26 Oct 2026, 11:0751,932-376
25 Oct 2026, 10:1652,308-396
24 Oct 2026, 10:0552,704+2,388
23 Oct 2026, 10:4650,316-79
22 Oct 2026, 09:4150,395-771
21 Oct 2026, 05:4151,166-647
20 Oct 2026, 01:3751,813-1,089
19 Oct 2026, 03:1052,902-3,705
18 Oct 2026, 05:0656,607-126
17 Oct 2026, 06:3856,733-2,638
16 Oct 2026, 07:4559,371-1,402
15 Oct 2026, 11:0860,773-746
14 Oct 2026, 13:4661,519-593
13 Oct 2026, 05:5862,112-1,041
8 Oct 2026, 21:4063,153-383
4 Oct 2026, 08:1963,536-3,678
25 Sept 2026, 19:3567,214-3,380
19 Sept 2026, 05:5670,594first reading

Engagement

1,252 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 185 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.98%
avg views ÷ 51,282 subscribers
Avg views / post
3,580
469 posts measured
Reaction rate
0.023%
reactions ÷ views · ER floor
Posts in window
469
of 1,252 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 52 of 469 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 28 October 2026
Posts held1,252 (7 August 2026 – 28 October 2026)
Views total1,678,992
Reactions total51
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Oct 2026, 18:18 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
≈25,200
Videos
≈2,200
Links
≈9,560

Lifetime counters from Telegram’s own channel header, read 28 October 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 24m
Average length
48s

Measured directly from 106 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

62 reactions across 62 posts, in 9 distinct kinds. The most used accounts for 16.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1016.1%
🥰1016.1%
🎉914.5%
❤812.9%
👍711.3%
👏69.68%
⚡46.45%
😁46.45%
🤩46.45%

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 63 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 62 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 22 August 2026 to 28 October 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

28 Oct 2026, 14:29 UTC≈4,870 viewsread 28 October 2026
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汉中一男子偷渡老挝金三角参与电诈:回流投案获刑两年,数罪并罚 #国内新闻:10月26日法治网报道,陕西省汉中市汉台区人民法院近日依法审结一起偷越国(边)境及电信网络诈骗犯罪案件。被告人严某因轻信境外高薪诱惑偷渡至老挝金三角,参与针对国内居民的电信诈骗活动,最终因犯数罪被判处有期徒刑二年。 经法院审理查明,2020年7月,严某在他人拉拢下萌生出境念头,辗转多地后通过乘车、徒步等非法方式偷渡至老挝金三角经济特区。抵达后,严某加入电诈团伙担任业务员,通过直播间引流、微信群水军烘托及虚假投资平台诈骗国内被害人,非法获利共计7万元。 经公安机关多次劝返,严某于2024年2月回国投案,但到案后仅退缴违法所得2万元。 法院审理认为,严某违反国(边)境管理法规结伙偷越国(边)境,情节严重,已构成偷越国(边)境罪;其长期滞留境外诈骗窝点超30日针对境内群众实施诈骗,构成诈骗罪。 鉴于其具有自首、认罪认罚及部分退赃等情节,法院依法数罪并罚…

28 Oct 2026, 14:06 UTC≈5,680 viewsread 28 October 2026
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#菲律宾新闻 【菲府为参议员德拉罗萨悬赏五千万比索辩护】 菲律宾总统府10月27日就内政部悬赏5000万比索征集参议员罗纳德·德拉罗萨被捕线索一事作出回应,称该笔赏金来自内政部情报与机密资金,并非由总统出资。 总统府表示,内政部与菲国警各有自身职权和资金,总统无需亲自决定赏金数额。内政部长雷穆拉10月23日宣布悬赏,并认定德拉罗萨“持有武器且危险”,限其一周内自首,期限至10月29日。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

28 Oct 2026, 13:57 UTC≈5,750 viewsread 28 October 2026
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#新闻 缅媒报道:缅甸三佛塔电诈园区沦为人间炼狱 数千人遭囚禁、虐待与贩! 近日,缅甸克伦邦帕亚松如 地区的电诈园区被曝出骇人内幕:大批受害者被强行囚禁、被迫从事网诈,并遭受残酷虐待及公开转。 涉事园区外围筑有高墙、电网并布满武装保安,内部不断扩建。多方证实园区内存在严重虐待与人员失踪事件,人员甚至在 Telegram 上公开兜售受害者,部分人“标价”高达 50,000 美元! 受害者被迫从事网诈,拒不从命者遭残酷殴打或二次转卖。据人权组织(2026年6月)数据,泰缅边境多个电诈中心仍有超 5,300人 被困,局势极其严峻。 目前,外界正强烈呼吁对该园区展开紧急调查,全力营救受困人员并严惩涉案凶手! ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

28 Oct 2026, 13:39 UTC≈1,530 viewsread 28 October 2026
Forwarded from @TTC9988Video

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28 Oct 2026, 13:01 UTC8 viewsread 28 October 2026
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#行业新闻 曾曝光缅柬电诈内幕的博主“徽剑”遭绑架虐待致死,主犯赵冰被判死缓 2024年11月,长期曝光缅北、柬埔寨电诈内幕的自媒体博主吴恺(网名“徽剑”)遭人绑架、殴打和折磨,最终被遗弃在江西赣州定南县一处山上死亡。 据界面新闻获得的法院裁判文书,犯罪团伙通过境外社交软件 Telegram 接受网名“少校”(又称“泰哥”)发布的绑架任务,酬金高达100万元,目标是逼迫吴恺删除揭露电诈内幕的文章。 吴恺生前曾公开举报柬埔寨太子集团骨干、柬埔寨安徽商会会长刘忍,指控其涉嫌暴力放贷、致人死亡、收取保护费及运营电诈园区等,但相关指控应与司法认定区分看待。 法院认定,吴恺被绑架后遭持续殴打和虐待,头颈部受到致命伤害,犯罪人员在发现其昏迷、生命垂危后仍将其遗弃,导致其死亡。 2025年12月,惠州市中级人民法院一审判处主犯赵冰死刑、缓期二年执行,其他涉案人员分别因故意伤害、非法拘禁或窝藏罪获刑;2026年8月,广东省高级人民法…

28 Oct 2026, 12:52 UTC≈4,180 viewsread 28 October 2026
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星汇的保安队伍 政治素养还是非常过硬的 这哥们都跑出小区了 但依然被保安给抓住了 在打诈的立场上来说 保安的行为给满分 不过从商业的角度 星汇的房子以后怕是不好租了 不过,房子好不好卖 好不好租 似乎也和物业没太大关系了? ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

28 Oct 2026, 12:19 UTC≈6,010 viewsread 28 October 2026
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#菲律宾新闻 宿务省查获约470万比索无证香烟 逮捕一名42岁男子 菲律宾宿务省塔利赛市近日展开打击非法香烟销售行动,当局查获一批价值约470万比索的无证香烟,并逮捕一名42岁男子。 此次行动发生于10月27日凌晨2时55分左右,宿务省警察局省级情报组联合海关总署宿务分局在塔利赛市杜姆洛格村展开诱捕行动,重点打击涉嫌非法销售和分销无证香烟的活动。 行动中,执法人员查获大批香烟产品,估计总价值约470万比索,经初步检查,这批香烟缺少规定的图形健康警告标识,不符合相关规定。警方随后逮捕化名为“阿尔”的42岁男子,据悉嫌疑人是当地杜姆洛格村居民,目前已被警方拘留。 有关部门正就此案展开后续处理,预计将针对嫌疑人涉嫌销售及分销无证香烟的行为提出相应指控。 至于这批香烟的具体来源以及是否涉及更大的销售网络,目前尚未有进一步消息。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

28 Oct 2026, 12:09 UTC≈5,740 viewsread 28 October 2026
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#泰国新闻 【21岁孙子索钱买毒遭斥 持刀砍死亲舅舅】 泰国碧差汶府一户民宅近日发生家庭血案,一名21岁男子向70岁祖母索要钱财购买毒品遭拒后,被舅舅斥责,竟持刀追砍对方致其死亡。 事件发生于凌晨时分,地点位于隆塞县怀莱镇第9村。43岁的受害者面部及头部多处被砍伤,送医后不治身亡。行凶者为死者21岁的外甥,案发后村民合力将其控制并缴获作案刀具。据祖母向警方陈述,孙子深夜索钱买毒品未果,死者出言训斥其吸毒致精神问题,引发嫌犯暴怒行凶。目前警方正依法处理此案。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

28 Oct 2026, 12:00 UTC≈1,530 viewsread 28 October 2026
Forwarded from @TTC9988Photo

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28 Oct 2026, 09:42 UTC12 viewsread 28 October 2026
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#泰国新闻 【索要免费餐不成就威胁毁店 泰国餐厅揭穿“网红”套路】 泰国暖武里府一家餐厅近日遇到自称拥有数十万粉丝的“美食网红”,对方主动提出免费拍摄探店视频,却要求店家提供多道免费餐点及饮品。餐厅拒绝后,对方开出高达2.5万泰铢的探店报价,还威胁拍摄负面视频、打一星差评,甚至扬言让餐厅“彻底完蛋”。餐厅老板公开聊天记录提醒同行。暖武里府警方表示,涉事人员行为可能涉嫌企图敲诈勒索,并怀疑对方可能并非真正知名网红,而是利用虚假账号接近餐厅的诈骗团伙,案件仍在调查中。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

28 Oct 2026, 09:07 UTC≈4,740 viewsread 28 October 2026
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#迪拜大事件 森林城市3个月逮捕351名涉诈嫌疑人,其中325人为中国籍 马来西亚柔佛州森林城市近期接连曝出诈骗窝点。当地媒体《东方日报》10月26日报道,过去3个月,警方先后展开两轮大规模扫荡,共逮捕351名涉嫌参与诈骗活动的人员,其中325人为中国籍。 今年7月15日,柔佛州警方突袭森林城市及周边地区的32处据点,共逮捕335人,包括309名中国籍、19名印尼籍、4名缅甸籍及4名马来西亚籍人员。警方现场查获313台电脑、1557部手机、17台笔记本电脑及其他通讯设备。初步调查显示,相关团伙涉嫌通过虚假加密货币投资、爱情诈骗等方式,针对海外受害者实施诈骗。 10月初,警方再次突袭森林城市至少5个公寓单位,捣毁两个涉嫌从事虚假加密货币投资诈骗的团伙,逮捕16名中国籍男女。调查发现,部分嫌疑人涉嫌针对中国境内民众实施诈骗,所有被捕人员均未随身携带护照。 连续发生的诈骗窝点案件引发当地居民及海外业主关注。森林城市管理层此前表…

28 Oct 2026, 08:05 UTC≈5,540 viewsread 28 October 2026
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曼谷两嫌犯涉无证提供中风风险超声检查被捕 泰国中央调查局与卫生部支持服务部、泰国医学委员会联合行动,在曼谷邦纳区一家餐厅内逮捕两人,涉嫌无证提供医疗服务,包括用于评估中风风险的超声检查,每人收费900泰铢。警方在行动中发现一名22岁女子使用超声设备检查顾客颈部两侧动脉,另一名94岁男子则负责解释超声结果并评估顾客中风风险。两人均未持有医疗执业许可证,已被移交消费者保护警察局调查人员处理。调查还发现,嫌疑人设立购物中心摊位招揽顾客,据称已运营约五至六个月。两人面临违反《医疗职业法》和《医疗设施法》的指控。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

Showing the 12 most recent of 1,252 posts we hold for @PPA633. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 28 October 2026 — this entry's latest reading, not the date you are reading this.

“迪拜大事件曝光” (@PPA633), 51,282 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/PPA633.

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.