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Channel

新全迅网

@xinquanxunwang

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

888subscribers

+259 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003956936182
TypeChannel
Username@xinquanxunwang
CreatedBetween 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/xinquanxunwang

Growth

629888758.56 August 2026 — 629 subscribers6 August 2026 — 629 subscribers6 August 2026 — 642 subscribers14 August 2026 — 888 subscribers6 August 202614 August 2026
4 measurements spanning 7 days, net +259. 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 590–927 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 00:16888+246
6 Aug 2026, 23:55642+13
6 Aug 2026, 17:33629no change
6 Aug 2026, 16:03629first reading

Engagement

8 posts held, back to 3 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.5%
avg views ÷ 888 subscribers
Avg views / post
360
8 posts measured
Reaction rate
1.56%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 August 2026
Posts held8 (3 August 20266 August 2026)
Views total2,879
Reactions total45
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:33 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.

Reaction mix

45 reactions across 8 posts, in 17 distinct kinds. The most used accounts for 35.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1635.6%
👍613.3%
👎48.89%
🤮36.67%
💩24.44%
😢24.44%
😱24.44%
12.22%
🌚12.22%
🎃12.22%
🎉12.22%
👌12.22%
👏12.22%
💅12.22%
🔥12.22%
🕊12.22%
🙈12.22%

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 8 of the 8 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 45reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 3 August 2026 to 6 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

6 Aug 2026, 16:00 UTC78 views5 reactionsread 6 August 2026
Photo

新全迅网信誉担保⭐️⭐️⭐️⭐️⭐️ 商户均缴纳500w美金保证金 8.CC集团 大户首选 入款笔笔送3% 金贝娱乐首充即送8888实力无需多言 PG娱乐城 官方直营 超高爆率 高福利 辉煌国际业界最高返水 1.6%无上限 KK娱乐城 电子百家乐 0审核 0风控 开元棋牌官方直营娱乐造富无惧爆庄 📣新全讯网🧧活动🧧享受新全讯网担保先行赔付,以及活动福利必须在新全讯网担保线下注册 🔴完成5次出款,即可领取现金红包8-888U 🔴大额出款1w+,领取88-1588U红包现金,每天不限次数 🔴 月亏损,月初领取3%人道主义现金红包救援 📣活动申请联系 @qxwkefu

11🎃1👍1💅1

6 Aug 2026, 05:47 UTC298 views10 reactionsread 6 August 2026
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#黑平台曝光 #NG28 #新全迅网 遇见问题不处理 NG28 简称(南宫)我要曝光这个垃圾台子,本人昨天在这个平台充值了2w多然后打了一个通宵打回了7000人民币,我就想着去提现,结果一提现直接把我所有的余额都给划走了,我找客服处理这个事情,客服说要12点小时核实,然后又给我推旺旺998877这个账号的管理说只有他才能解除,我也按照他的方式去添加了,结果等了24小时只回复了2句信息根本没有解决问题,等到下午3点种反水1000我又打到了3000去提现,平台上面显示提现成功可是我的卡里根本没有钱到,我又找客服,客服还是同样的理由推给管理,一直到现在没有得到解决,总共7000元被黑了,结果真是这样 免费收录/黑台曝光➡️➡️@qxwkefu 🎉欢迎踊跃投曝光黑平台,只要真实,稿费到位,18-188U

🤮32👍2😱2🙈1

5 Aug 2026, 16:00 UTC334 views3 reactionsread 6 August 2026
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新全迅网信誉担保⭐️⭐️⭐️⭐️⭐️ 商户均缴纳500w美金保证金 8.CC集团 大户首选 入款笔笔送3% 金贝娱乐首充即送8888实力无需多言 PG娱乐城 官方直营 超高爆率 高福利 辉煌国际业界最高返水 1.6%无上限 KK娱乐城 电子百家乐 0审核 0风控 开元棋牌官方直营娱乐造富无惧爆庄 📣新全讯网🧧活动🧧享受新全讯网担保先行赔付,以及活动福利必须在新全讯网担保线下注册 🔴完成5次出款,即可领取现金红包8-888U 🔴大额出款1w+,领取88-1588U红包现金,每天不限次数 🔴 月亏损,月初领取3%人道主义现金红包救援 📣活动申请联系 @qxwkefu

2👍1

5 Aug 2026, 12:24 UTC338 views2 reactionsread 6 August 2026
Photo

#黑盒子事件影响!!!#新全迅网 澳门7月博彩收入按年跌 8.4%至202亿澳门元 连跌两个月 澳门博彩监察局公布,7月份博彩收入约202.6亿澳门元,按年跌8.4%,跌幅较市场估计高,且是自2022年底以来首次连跌两个月。 未来赌场竞争的不只是游戏,而是体验。玩家希望获得的不再只是下注,而是更真实的互动体验;更多元化的游戏内容;更加公平透明的运营体系。单一赌桌时代注定将走向没落。 免费收录/黑台曝光➡️➡️@qxwkefu 🎉欢迎踊跃投曝光黑平台,只要真实,稿费到位,18-188U

1👍1

4 Aug 2026, 16:00 UTC402 views9 reactionsread 6 August 2026
Photo

新全迅网信誉担保⭐️⭐️⭐️⭐️⭐️ 商户均缴纳500w美金保证金 8.CC集团 大户首选 入款笔笔送3% 金贝娱乐首充即送8888实力无需多言 PG娱乐城 官方直营 超高爆率 高福利 辉煌国际业界最高返水 1.6%无上限 KK娱乐城 电子百家乐 0审核 0风控 开元棋牌官方直营娱乐造富无惧爆庄 📣新全讯网🧧活动🧧享受新全讯网担保先行赔付,以及活动福利必须在新全讯网担保线下注册 🔴完成5次出款,即可领取现金红包8-888U 🔴大额出款1w+,领取88-1588U红包现金,每天不限次数 🔴 月亏损,月初领取3%人道主义现金红包救援 📣活动申请联系 @qxwkefu

6👍1👏1🔥1

4 Aug 2026, 05:17 UTC476 views10 reactionsread 6 August 2026
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#黑平台曝光 #Kb体育 #新全迅网 第一次玩,存款500打到600提款,结果就被黑了,玩不起的狗庄,吃相真难看,玩不起就快点倒闭吧,别恶心人了 免费收录/黑台曝光➡️➡️@qxwkefu 🎉欢迎踊跃投曝光黑平台,只要真实,稿费到位,18-188U

👎42😢2🌚1🕊1

3 Aug 2026, 16:00 UTC478 views4 reactionsread 6 August 2026
Photo

新全迅网信誉担保⭐️⭐️⭐️⭐️⭐️ 商户均缴纳500w美金保证金 8.CC集团 大户首选 入款笔笔送3% 金贝娱乐首充即送8888实力无需多言 PG娱乐城 官方直营 超高爆率 高福利 辉煌国际业界最高返水 1.6%无上限 KK娱乐城 电子百家乐 0审核 0风控 开元棋牌官方直营娱乐造富无惧爆庄 📣新全讯网🧧活动🧧享受新全讯网担保先行赔付,以及活动福利必须在新全讯网担保线下注册 🔴完成5次出款,即可领取现金红包8-888U 🔴大额出款1w+,领取88-1588U红包现金,每天不限次数 🔴 月亏损,月初领取3%人道主义现金红包救援

2🎉1👌1

3 Aug 2026, 06:36 UTC475 views2 reactionsread 6 August 2026
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#黑平台曝光 #澳门银河 #新全迅网:赢即黑款,纯杀猪台 澳门银河 实锤 黑平台!本人前后输三四十万,好不容易赢到几万申请提现,直接被安上 “对打套利” 的借口,资金全数被吞,连基本伪装都不做。 只玩 21 点、电子游戏也遭此对待,摆明只许输、不许赢。还在玩的兄弟赶紧收手,别再被坑! 黑平台网站 (797.cc) 免费收录/黑台曝光➡️➡️@qxwkefu 🎉欢迎踊跃投曝光黑平台,只要真实,稿费到位,18-188U

💩2

Showing the 8 most recent of 8 posts we hold for @xinquanxunwang. 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 — 17,557 of 1,481,243entries 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 59 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

金三角特区 亚太新闻 缅甸新闻
@miandianQ · 52,644
5 posts
东南亚新闻 柬埔寨新闻 柬埔寨大事件
@Bx666x · 187,946
4 posts
迪拜新闻 迪拜大事件 马来西亚大事件
@chiguak · 64,460
4 posts
迪拜新闻|迪拜大事件|东南亚大事件
@dibaif · 13,646
4 posts
东南亚大事件 柬埔寨大事件 巴基斯坦新闻
@jianpuzhaiu · 104,679
4 posts
东南亚大事件 柬埔寨大事件 柬埔寨新闻
@jinbiany · 106,511
4 posts
西港日记|柬埔寨大事件|东南亚大事件
@xigangz · 121,786
4 posts
东南亚吃瓜🐸
@xuanshangz · 51,907
4 posts
柬埔寨大事件 柬埔寨新闻 东南亚新闻
@yuenanE · 126,433
4 posts
东南亚大事件 金三角大事件 缅甸大事件
@yuenanU · 239,366
4 posts
斯里兰卡新闻 马达加斯加大事件 泰国新闻
@baoliaoc · 65,857
3 posts
东南亚大事件 东南亚新闻 西港日记 亚太新闻
@dny336 · 220,670
3 posts
东南亚大事件
@ytai99 · 58,135
3 posts
全网曝光|东南亚日记
@bbb1b · 356,840
2 posts
东南亚头条曝光㊖
@bg888 · 337,091
2 posts
东南亚大事件 @dsj888
@bx6699 · 328,360
2 posts
柬埔寨头条事件️🅥
@HR8877 · 326,988
2 posts
柬埔寨大事件/曝光
@jpz0123 · 52,868
2 posts
全球灰产新闻大事件曝光吃瓜
@junzhang02 · 44,722
2 posts
东南亚大事件日记/今日头条 曝光-悬赏
@dny26i · 231,571
1 post
东南亚大事件 东南亚新闻 柬埔寨新闻
@dny66i · 231,026
1 post
东南亚新闻|华人资讯曝光|news
@huaren_zixun · 120,657
1 post
柬埔寨新闻|华人资讯曝光|cambodia news
@jianpuzhaihuarenzixun · 102,992
1 post
越南新闻|华人资讯曝光|vietnam news
@yuenanhuarenzixun · 93,130
1 post

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

“新全迅网” (@xinquanxunwang), 888 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/xinquanxunwang.

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.