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Channel

越南头条新闻曝光🇻🇳78.com 冠名

@nb9faf55

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

57,170subscribers

-33 since we began measuring on 23 October 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1004373863981
TypeChannel
Username@nb9faf55
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded23 October 2026
Last confirmed live24 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 24 October 2026
On Telegramt.me/nb9faf55

Growth

57,17057,20357,186.523 Oct 2026, 10:22 — 57,203 subscribers23 Oct 2026, 10:26 — 57,201 subscribers24 Oct 2026, 07:59 — 57,170 subscribers23 Oct 2026, 10:2224 Oct 2026, 07:59
3 measurements taken within a single day, net -33. 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 57,165–57,208 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Oct 2026, 07:5957,170-31
23 Oct 2026, 10:2657,201-2
23 Oct 2026, 10:2257,203first reading

Engagement

25 posts held, back to 21 October 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 2 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.7%
avg views ÷ 57,170 subscribers
Avg views / post
6,100
25 posts measured
Reaction rate
0.868%
reactions ÷ views · ER floor
Posts in window
25
of 25 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 24 of 25 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 23 October 2026
Posts held25 (21 October 2026 – 23 October 2026)
Views total152,381
Reactions total1,323
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 22:26 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
12s
Average length
2s

Measured directly from 6 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

1,323 reactions across 24 posts, in 9 distinct kinds. The most used accounts for 13.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍18313.8%
💯17413.2%
❤16712.6%
🔥15111.4%
🥰13810.4%
🎉13610.3%
❤‍🔥1329.98%
🤩1229.22%
😍1209.07%

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 25 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 1,323 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 21 October 2026 to 23 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

23 Oct 2026, 14:35 UTC≈7,230 views55 reactionsread 23 October 2026
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#泰国新闻 【村民投诉采石场填埋运河侵占水道 当局介入调查】 达叻府博莱县 采石场持续填土侵占Khlong Chanak运河 影响长约1200米宽20米 村民投诉促执法 2026年10月22日,泰国达叻府博莱县村民投诉一家采石场持续填埋Khlong Chanak运河,侵占公共水道,影响范围长约1200米、宽约20米。村民已向博莱警察局投诉,指控擅闯私人领地、未经许可在灌溉水道建造建筑物及阻碍水道,并敦促当局依法恢复原状。自然资源与环境犯罪部门已介入调查。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

👍15🔥11💯10😍10🥰9

23 Oct 2026, 13:15 UTC1 viewsread 23 October 2026
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#泰国新闻 【国家人权委员会重申不干预华欣海滩15栋建筑拆除令】 华欣市政府 最高行政法院裁决拆除 19名居民投诉 委员会重点审查程序保障 2026年10月22日,泰国国家人权委员会在华欣市政府召开会议,听取19名居民投诉及相关部门事实。委员会重申不干预最高行政法院拆除华欣海滩15栋侵占公共土地建筑的命令,重点审查政府机构通知、公告、时限及拆除前后程序是否充分保障公众权利。华欣市代表递交近千名居民签名信要求按裁决拆除。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

23 Oct 2026, 12:25 UTC≈5,900 views56 reactionsread 23 October 2026
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#泰国新闻 【芭堤雅摩托出租车恢复橙色背心 司机称更醒目安全】 司机欢迎恢复原色 称橙色比蓝色更安全 希望退还每件550泰铢费用 2026年10月22日,泰国春武里府府尹签署公告,取消摩托车出租车背心颜色必须为深蓝色的要求,恢复原有橙色。芭堤雅司机表示橙色更醒目、反射光线,司机和乘客都更安全,蓝色太深容易被误认为不是出租车,影响生意。他们每件背心花了550泰铢,希望政府能退款,因为目前收入下降六七成,这笔钱负担不小。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

🤩13❤‍🔥12👍12💯10🎉9

23 Oct 2026, 11:18 UTC≈5,420 views55 reactionsread 23 October 2026
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#泰国新闻 【“暖武里府机械战警”火化 追授连续两年两级加薪】 暖武里府机械战警 车祸身亡 加拉信火化 追授两级加薪 2026年10月22日,泰国暖武里府邦斯里芒警察局警长塔纳瓦·凯猜(“暖武里府机械战警”)在加拉信府火化,约30名警官及家属参加葬礼。他10月19日晚骑摩托与一辆突然转弯的汽车相撞身亡。警方因其卓越服务追授连续两年两级加薪。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

🎉14💯14🤩13❤‍🔥7😍7

23 Oct 2026, 10:35 UTC≈8,730 views55 reactionsread 23 October 2026
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#泰国新闻 【泰国东北四府土壤热疫情 570例45死】 呵叻武里南素林猜也奔 农民高风险 接触潮湿土壤水土 高烧两天速就医 2026年10月22日,泰国第九区疾控办公室透露,今年1月1日至10月22日东北四府报告570例类鼻疽病例,45人死亡。武里南245例最多,呵叻136例、素林139例、猜也奔50例。农民和长时间接触潮湿土壤水土者风险高,出现持续高烧两天以上应立即就医。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

🔥15👍12🥰12❤10😍6

23 Oct 2026, 09:17 UTC≈5,880 views55 reactionsread 23 October 2026
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#泰国新闻 【网络警察突袭宋卡赌博网站 逮捕12人 17天营业额3.79亿泰铢】 在线赌博网站 17个账户17天流水超3.79亿 缴获现金157万及皮卡 6人仍在逃 2026年10月22日,泰国网络警察持法院搜查令突袭宋卡府直辖县考鲁昌街道一处房屋,逮捕12名在线赌博网站成员,缴获电脑、手机、12张银行卡、157万泰铢现金及一辆五十铃皮卡。该网站17个账户在5月10日至26日的17天内营业额超3.79亿泰铢。警方已获18人逮捕令,正追捕其余6人,12人被控组织赌博及洗钱,移交网络犯罪调查局第五分局处理。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

🥰15🤩14🎉11😍8🔥7

23 Oct 2026, 08:45 UTC≈6,100 views55 reactionsread 23 October 2026
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#泰国新闻 【泰国推免费筛查 揭半数高血脂者不知情】 10月22日,泰国疾控厅联合医学专业协会、院校及卫生网络,在曼谷本乍希里公园举办“知心知脂”流动活动第三期,响应世界心脏日,提供免费血管健康筛查。官方披露,泰国心血管疾病死亡年均约6万例,15岁以上人群约五分之一患高血脂;公立医院统计的总胆固醇偏高者约90万人中,约60万人尚未被确诊。疾控厅指出,高血脂是无症状的“沉默威胁”,呼吁民众主动检测并持续管理饮食、运动与治疗。目前影响仍待有关部门进一步说明。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

🎉17🥰14👍10❤‍🔥8💯6

23 Oct 2026, 07:19 UTC≈7,320 views55 reactionsread 23 October 2026
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#柬埔寨新闻 柬青年代表倡主权平等深化区域合作 柬埔寨国际关系学院院长金菲亚在中国河南举行的第四届中国—东盟优秀青年夏令营上提出三项优先事项:通过批判性探讨增进理解、确保包容性合作、将共同责任转化为务实行动。他表示,主权平等、国际法和东盟中心地位是重要基础,经济相互依存无法单独化解不信任,合作只有当成果惠及基层且小国拥有实质发言权时才更持久。活动由该学院与河南师范大学政治与公共管理学院联合举办,为期一周。与会代表还就水资源、气候变化和安全共识等议题展开讨论。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

😍13❤‍🔥11🔥11❤10🎉10

23 Oct 2026, 07:09 UTC≈5,750 views55 reactionsread 23 October 2026
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🤩🤩🤩🤩 🤩🤩🤩🤩🤩 0审核|包出款🤩🤩🤩 东南亚大事件联合担保🤩🤩🤩🤩🤩(电子) 🤩亿级域名|78.COM 🤩官方飞投|充提自由 🔝实力派:78.COM 数字够短 品牌够大 🔥香港六合彩 · 独家盈利无上限! 🤩所有的特码🤩🤩倍 🤩连码三中三🤩🤩🤩倍 🤩百家乐全网最高起步返水🤩% 🤩电子|棋牌|捕鱼起步返水🤩.🤩% 🤩十三水|德州自主组队,无抽佣; 🏆电子单注🤩🤩🤩🤩U一拉; ⭐️百家乐真人视讯台红🤩🤩万U; 🚩诚招代理合作(二选一): 1、打码返佣,限指定平台; 2、占成模式,可自由选择占成比例及游戏平台; 🤩🤩🤩🤩:@DL78 💥高额战绩,巅峰记录持续刷新: 🥇PP电子|极速糖果1000 玩家游戏中购买30000u超级免费旋转,高倍爆奖,最终拿下378万U,已出款; 🥈PG电子|麻将胡了 又又又欧气爆棚,5000U一拉,连番触发,单局斩获193万U; 🥉香港六合彩|特码49倍 爱拼才会赢,大佬单码下注18万U,一注直接…

🎉14🤩13❤‍🔥12👍8🔥8

23 Oct 2026, 07:09 UTC≈5,710 views55 reactionsread 23 October 2026
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💯16❤‍🔥13🎉9👍9🔥8

23 Oct 2026, 07:09 UTC≈5,890 views55 reactionsread 23 October 2026
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🔥17😍14💯9👍8🥰7

22 Oct 2026, 14:32 UTC≈7,170 views55 reactionsread 23 October 2026
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#柬埔寨新闻 【金边女性谈兵役法 有人愿自愿参军报国】 金边近日就兵役法实施情况采访多名女性居民,询问她们是否愿意自愿参军服役。柬埔寨政府正执行兵役法,要求18至25岁男性完成为期两年的兵役,同时允许女性自愿入伍。 受访女性看法不一。有人表示愿意考虑自愿参军,认为军事训练有助增强国防,若战争爆发可有更多志愿者待命。也有人表示目前希望专注学业,待完成学业后再投身军旅,以不同方式报效国家。 ——————————————————— 关注越南头条新🇻🇳➡️@nb9faf55 商务 投稿联系➡️@xin168888888889

💯14❤13🤩12🥰11👍5

Showing the 12 most recent of 25 posts we hold for @nb9faf55. 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 2 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“越南头条新闻曝光🇻🇳78.com 冠名” (@nb9faf55), 57,170 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/nb9faf55.

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.