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Channel

南希快闻💗

@ipnxz

On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

102,628subscribers

+68,570 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-1003537861871
TypeChannel
Username@ipnxz
Description#电诈曝光 #博彩黑幕 #诈骗预警 #案件追踪 #跨境骗局 #bc黑平台 #治安资讯 #失联求助 #海外华人 #东南亚新闻 新视界情报站专注于国内外热点资讯、突发事件、案件追踪、黑灰产曝光及东南亚最新动态。 持续更新热点事件,追踪事实进展,分享一手资讯。 欢迎投稿 @nxdb
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 October 2026
Measurements held83
Confirmed unchanged1 time, most recently 26 October 2026
On Telegramt.me/ipnxz

Topic

National news — 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.

Previous handles

@ipnxz was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@tgnf1
held 7 August 2026 – 7 August 2026

Growth

28,668107,53368,100.5102,6287 August 202626 October 2026
83 measurements spanning 80 days, net +68,570. 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 16,838–119,363 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 83
Measured (UTC)SubscribersChange
26 Oct 2026, 21:47102,628-333
25 Oct 2026, 19:37102,961-410
24 Oct 2026, 22:14103,371-412
23 Oct 2026, 19:18103,783-299
22 Oct 2026, 19:41104,082-409
21 Oct 2026, 19:11104,491-259
20 Oct 2026, 15:06104,750-386
19 Oct 2026, 15:26105,136-181
18 Oct 2026, 16:56105,317-244
17 Oct 2026, 15:07105,561-470
16 Oct 2026, 13:59106,031-277
15 Oct 2026, 13:45106,308-513
14 Oct 2026, 10:27106,821-712
12 Oct 2026, 19:10107,533+18,063
8 Oct 2026, 05:3989,470-1,409
3 Oct 2026, 17:0290,879+4,334
27 Sept 2026, 19:1986,545-36
25 Sept 2026, 00:3786,581-142
18 Sept 2026, 17:5886,723-10
17 Sept 2026, 18:3886,733first reading

Engagement

641 posts held, back to 3 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 168 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.88%
avg views ÷ 102,628 subscribers
Avg views / post
7,060
23 posts measured
Reaction rate
0.01%
reactions ÷ views · ER floor
Posts in window
23
of 641 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 23 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 September 2026
Posts held641 (3 August 2026 – 28 September 2026)
Views total162,460
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 09:44 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
≈1,940
Videos
≈277
Links
≈101

Lifetime counters from Telegram’s own channel header, read 27 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 20m
Average length
43s

Measured directly from 113 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

25 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 52.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1352.0%
👍312.0%
🔥312.0%
💯28.00%
🤡28.00%
🥰28.00%

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 24 of the 641 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 641 most recent posts we hold, published 3 August 2026 to 28 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.

Telegram Stars

Stars received
768
across the posts below
Posts paid on
3
of 640 we hold a reading for · 0.5%
Most on one post
575
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ipnxz. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 641 most recent posts we hold for this entry, published 3 August 2026 to 28 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

28 Sept 2026, 09:01 UTC≈10,100 viewsread 28 September 2026
Photo

受近期黑箱操作事件及相关舆论影响,经过调查走访,部分娱乐场开始陆续学习欧美赌场的做法,更换为透明牌靴和塑料牌靴。 与此同时,也有部分赌场开始调整为更加规范、传统的发牌流程,先公开发出六张牌,让客人确认牌面后再进行下注。这种方式的核心,同样是将原本玩家无法直接观察的过程,尽可能呈现在所有人面前。 透明化设计最大的作用,是让荷官、玩家以及现场监管人员能够更加直观地观察牌靴内部结构与整个发牌过程,从视觉层面减少公众对于“黑箱操作”的疑虑。 而“先发牌、后下注”的模式,则进一步强化了牌局过程的公开性与可见性。当玩家能够亲眼看到牌已经发出、牌面状态已经形成,再决定是否下注,对于牌局是否存在人为干预的质疑,也会相应减少。 此次事件反映出,在博彩行业这个高度依赖玩家信任的行业中,设备是否合规不能只靠一张嘴,玩家能否亲眼看见公平,同样重要。 因此,未来赌场的博彩设备与游戏流程,很可能进一步朝着设备透明化、流程公开化、过程可视化、游戏可…

28 Sept 2026, 08:31 UTC10 viewsread 28 September 2026
Video

尼泊尔再现山洪,目前已致 14 人死亡,11 人下落不明。 ✅订阅频道:@ipnxz 🛎爆料投稿:@nanxi

28 Sept 2026, 08:21 UTC≈10,100 viewsread 28 September 2026
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虚拟货币真不是法外之地 国安部点名洗钱、黑客和间谍经费 9月28日,国家安全部发布提醒,虚拟货币看似匿名、隐蔽,实际上并非无法追踪,更不是违法犯罪资金的“安全通道” 一些电诈、网赌、跨境走私等犯罪团伙,会利用虚拟货币转移和洗白赃款;黑客实施勒索病毒攻击、网络入侵后,也可能要求受害者用虚拟货币支付赎金。更值得警惕的是,境外间谍情报机关也可能通过虚拟货币秘密输送间谍经费 虚拟货币交易虽然不直接显示真实姓名,但区块链上的交易记录会长期留存且难以篡改。资金兑换和流转过程中,还可能留下交易平台记录、设备信息、网络IP等痕迹,通过链上数据可以继续追查资金去向和实际使用人 国家安全部提醒,比特币、以太币、泰达币等虚拟货币在我国不具有与法定货币等同的法律地位,相关非法金融活动不受法律保护 ✅订阅频道:@ipnxz 🛎爆料投稿:@nanxi

28 Sept 2026, 07:32 UTC15 viewsread 28 September 2026
Photo

#老挝资讯:天网恢恢!万象突袭涉诈窝点,几十名电诈分子被押解回国! 7月初,老挝公安部门重拳出击,在万象鱼塘成功突袭了一处隐蔽的诈骗窝点,当场抓获几十名中国籍涉案人员(含1名女性),现场查获100多台手机和20多台电脑。 据老方通报,警方冲进现场时,这伙人正疯狂敲击键盘进行诈骗,被当场人赃并获!在完成相关法律程序后,9月中旬,这批涉诈人员已被依法移交中国警方,悉数押解回国,等待他们的将是法律的严惩! 互联网没有法外之地,出来混迟早要还。不管曾经在圈子里多风光,触碰了法律红线,终究是一场空。陀爷别拿“风流”当借口。在此支持中国警方深挖彻查 姓名:大鹏 、严查三代,此人罪大恶极。 ✅订阅频道:@ipnxz 🛎爆料投稿:@nanxi

28 Sept 2026, 07:02 UTC≈10,000 viewsread 28 September 2026
Video

🥰 🟢🟢🟢🟢🟢🟢🟢 🥰 ⏺中秋王者盛典⏺ 📱J.VIP 官方网站📱 J.VIP 📱J.VIP 官方频道📱 @JVIP888 📱官方机器人📱 @JVIP ❤️ 月耀金秋 · 王者加冕 ❤️ 👩‍❤️‍💋‍👩9/16-9/30 为期15日活动 🎲 王中王:🥰🥰🥰🥰🥰🥰 × 📱位 🎲 状元: 🤣🤣🤣🤣 😘 📱位 🎲 对堂: 🤣🤣🤣🤣 😘 📱📱位 🎲 三红: 🤣🤣🤣 🤣 😘📱📱位 🎲 四进: 🤣🤣🤣 🤣 😘📱📱📱位 🎲 二举: 🤣🤣 🤣 😘📱📱📱位 🎲一秀: 🤣🤣 🤣 😘📱📱📱位 🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢 😀😀😀😀😀😀😀😀😀😀😀😀 --- 📱 更多官方联系方式 📱 --- 🤝 商务招商:@J520 👤 官方专员:@J168 💬 在线客服:@JVIP11 ~ @JVIP22

28 Sept 2026, 06:30 UTC≈10,000 viewsread 28 September 2026
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🇮🇹 AI冒充高管克隆声音 意大利一银行被骗9500万欧元 据消息人士披露,诈骗分子利用AI技术冒充高管,从意大利最大银行Intesa Sanpaolo旗下的私人银行Fideuram盗走9500万欧元(约1.08亿美元)。 今年2月,诈骗团伙伪造集团CEO的即时通讯信息,并利用AI深度克隆知名律师声音拨打电话,诱导时任Fideuram董事长保罗·莫莱西尼安排向中国内地及香港等地的海外账户转账。 银行随后发现异常并报警,经多国执法合作成功追回约5300万欧元,但仍有约3600万欧元经多国账户清洗并兑换为加密货币后下落不明。高管团队未被调查,莫莱西尼已于3月辞职。米兰检方目前已对一名涉案的外籍嫌疑人展开调查。 ✅订阅频道:@ipnxz 🛎爆料投稿:@nanxi

28 Sept 2026, 06:01 UTC≈10,000 viewsread 28 September 2026
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#小姐姐投稿:老挝磨丁昨天下午疑似老挝妹不愿意接客,发出一声声恶龙咆哮,她也想休息休息了。 PS:销魂 ✅订阅频道:@ipnxz 🛎爆料投稿:@nanxi

28 Sept 2026, 05:31 UTC16 viewsread 28 September 2026
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#巴基斯坦资讯:卡拉奇NCCIA突袭两处涉嫌诈骗呼叫中心,73人被带走调查 9月27日,巴基斯坦国家网络犯罪调查局(NCCIA)卡拉奇分局对位于卡拉奇Tariq Road、PECHS Block 6的两处涉嫌从事诈骗活动的呼叫中心展开突袭行动。 据当地媒体报道,两处呼叫中心均隐藏在住宅别墅内运营,现场共有73名人员被带走调查。涉案人员包括客服代理、客服主管、运营负责人以及IT工作人员等。 执法人员在现场查获一套正在运行的CRM系统,其中存有客户信息及呼叫中心运营数据,同时扣押其他电子设备和数字证据。相关设备及数据已被送交进行进一步的取证和技术分析。 初步调查显示,涉案呼叫中心涉嫌以Zain Communications名义运营,并被指通过虚假金融服务等方式,将美国公民作为目标。据报道,相关人员涉嫌以新信用卡、低利率金融服务等名义实施诈骗。 目前案件已立案调查,相关FIR编号为92/2026及93/2026。其中一名涉案…

28 Sept 2026, 04:26 UTC≈10,200 viewsread 28 September 2026
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🇱🇦老挝公布HIV统计数据:累计检出26693名感染者,6335人死亡 老挝艾滋病及性传播疾病防治中心9月26日发布数据:1990年至2026年8月,老挝累计26693人检出HIV感染,相关死亡6335人;期间共有1835988人接受HIV检测,感染者占受检人群约1.45%。 官方特别说明,该比例仅针对接受检测群体,并非全国总人口感染率。 当地防治部门称,目前不少民众缺乏主动检测意识,很多人出现明显症状才就医,容易错过最佳治疗时机。部门呼吁扩大检测覆盖,感染者尽早开展抗逆转录病毒规范治疗。 PS:现在到处都是毒,擦亮眼睛!!!❤️

28 Sept 2026, 03:48 UTC≈10,100 viewsread 28 September 2026
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汇旺涉嫌洗钱240亿美元,主要服务电诈产业 据香港明报、香港01联合报道,汇旺集团近日陷入洗钱风波,其董事长李雄被押解回中国后,调查显示,过去四年汇旺涉嫌通过旗下平台洗钱高达 240亿美元,且主要服务对象为电信诈骗及网络犯罪团伙。 据总部位于英国伦敦的区块链分析公司 Elliptic 统计,自2021年以来,汇旺担保及旗下商家使用的加密货币钱包,已接收超过 240亿美元资金,其中大部分资金流向电诈产业。据明报援引 Elliptic 的研究,汇旺集团在去年春天之前共促成近 270亿美元交易,虽部分交易可能合法,但大规模资金流显示其存在洗钱风险。 消息还指出,汇旺旗下 汇旺担保 和 好旺担保,被认为是集团洗钱的核心工具,而其支付平台 汇旺支付(Huione Pay) 和所谓平民化银行 胖大银行(Panda Bank) 表面上服务普通用户,实际上被用于暗网交易和“杀猪盘”诈骗收益洗白,成为全球最大的暗网交易平台之一。 香港01…

28 Sept 2026, 03:47 UTC≈10,100 views1 reactionsread 28 September 2026
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#马来西亚新闻 【吉隆坡Pandan Jaya移民局突袭私人赌博窝点15外籍人士落网】 马来西亚移民局在吉隆坡Pandan Jaya展开突袭,经过长达一个月情报搜集,对4处地点开展执法,现场一共拘留15名外籍人员,来自孟加拉国、印尼、缅甸、印度,涉嫌逾期滞留、证件无效 经查这些是私人赌博窝点,装有CCTV与门禁,执法人员扣押7本护照、31台平板、15台手机以及RM1,674现金,同时传召5名大马男子协助调查

❤1

28 Sept 2026, 03:46 UTC≈10,100 viewsread 28 September 2026
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#泰国新闻 中国公司老板涉骗2000多万潜逃泰国 芭提雅豪华公寓落网 9月27日,泰国警方在春武里府芭提雅一处豪华公寓抓获65岁的中国籍陈姓男子。陈某是中国警方通缉的诈骗嫌疑人,长期担任两家贸易公司的负责人和实际控制人。 2023年3月至2024年1月,陈某通过自己控制的公司与一名大客户签订食糖买卖合同,但公司实际上没有相应供货能力,也没有合同约定的货物。 受害方先后支付超过2000万元人民币货款,折合约1亿泰铢,最终一直没有收到货。相关资金后来被用于偿还陈某此前的债务和个人开支。 2025年8月,中国警方接到报案后立案追查。陈某后来逃往泰国藏匿,泰国中央调查局特警和移民局调查人员锁定其行踪,在芭提雅纳库鲁路一处公寓将其抓获。 泰方已撤销陈某在泰停留许可,并将其交由移民部门拘留,准备送回中国接受调查和司法处理。

Showing the 12 most recent of 641 posts we hold for @ipnxz. 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.

Posts edited after publishing

@ipnxz edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
17 September 2026
Most recent edit
17 September 2026

Mentions

Named by 3 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 26 October 2026 — this entry's latest reading, not the date you are reading this.

“南希快闻💗” (@ipnxz), 102,628 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/ipnxz.

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.