#网友爆料 西港警方拆除广告牌 西港南海对面、黑白印象旁边,今天下午有警方人员在拆除现场广告牌。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 棋牌竞技 充提秒到,大额无忧 V6娱乐·专业打造的一站式娱乐博彩平台 🌈活跃群组 东南亚博彩PG俱乐部 👨💻关注大事件曝光社:@B88817 🌐投稿合作:@AA44567
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Channel
@DNY8898
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
98,438subscribers
+14,233 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001555313110 |
|---|---|
| Type | Channel |
| Username | @DNY8898 |
| 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 投稿/商务合作进群核实避免被骗: @AA44567 东This channel strictly abides by the relevant protocol guidelines of the Telegram community. False rumors and articles related to |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/DNY8898 |
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 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 17:17 | 98,438 | +9,960 |
| 19 Sept 2026, 00:37 | 88,478 | +2,683 |
| 16 Sept 2026, 13:01 | 85,795 | -1,682 |
| 14 Sept 2026, 18:59 | 87,477 | -1,081 |
| 13 Sept 2026, 06:59 | 88,558 | -1,837 |
| 11 Sept 2026, 11:57 | 90,395 | -2,013 |
| 8 Sept 2026, 19:59 | 92,408 | -3,168 |
| 5 Sept 2026, 10:21 | 95,576 | +970 |
| 3 Sept 2026, 13:58 | 94,606 | +1,926 |
| 2 Sept 2026, 10:04 | 92,680 | +1,504 |
| 1 Sept 2026, 09:43 | 91,176 | -374 |
| 31 Aug 2026, 12:55 | 91,550 | -519 |
| 30 Aug 2026, 12:15 | 92,069 | +122 |
| 29 Aug 2026, 10:25 | 91,947 | -708 |
| 28 Aug 2026, 11:13 | 92,655 | -375 |
| 27 Aug 2026, 13:47 | 93,030 | -242 |
| 26 Aug 2026, 15:23 | 93,272 | +1,090 |
| 25 Aug 2026, 14:08 | 92,182 | -692 |
| 24 Aug 2026, 13:56 | 92,874 | +316 |
| 22 Aug 2026, 21:48 | 92,558 | first reading |
1,007 posts held, back to 12 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 99 pages of Telegram’s post history, 20 posts per page.
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 88 of 594 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 1,007 (12 August 2026 – 30 September 2026) |
| Views total | 1,574,565 |
| Reactions total | 88 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 14:36 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.
Lifetime counters from Telegram’s own channel header, read 30 September 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.
Measured directly from 158 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.
103 reactions across 99 posts, in 9 distinct kinds. The most used accounts for 35.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 36 | 35.0% | |
| ❤ | 14 | 13.6% | |
| 👏 | 9 | 8.74% | |
| ⚡ | 8 | 7.77% | |
| 😁 | 8 | 7.77% | |
| 🤩 | 8 | 7.77% | |
| 🎉 | 7 | 6.80% | |
| 🥰 | 7 | 6.80% | |
| 🔥 | 6 | 5.83% |
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 103 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 103 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 12 August 2026 to 30 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.
#网友爆料 西港警方拆除广告牌 西港南海对面、黑白印象旁边,今天下午有警方人员在拆除现场广告牌。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 棋牌竞技 充提秒到,大额无忧 V6娱乐·专业打造的一站式娱乐博彩平台 🌈活跃群组 东南亚博彩PG俱乐部 👨💻关注大事件曝光社:@B88817 🌐投稿合作:@AA44567
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#柬埔寨新闻 柬埔寨国王西哈莫尼与太后结束北京体检 顺利返抵金边 柬埔寨国王诺罗敦·西哈莫尼与诺罗敦·莫尼列·西哈努克太后在结束为期约一个月的例行健康检查后,于今天下午由北京乘专机返抵柬埔寨。 柬参议院、国会及政府高层领导人、皇室成员、政府高级官员以及多国驻柬使节前往德崇国际机场热烈迎接。 据悉,柬埔寨国王与太后每年两次定期前往北京,在中国医疗专家团队的悉心照料下接受例行体检与健康监测。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 棋牌竞技 充提秒到,大额无忧 V6娱乐·专业打造的一站式娱乐博彩平台 🌈活跃群组 东南亚博彩PG俱乐部 👨💻关注大事件曝光社:@B88817 🌐投稿合作:@AA44567
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#菲律宾 41岁女子机场出境被拦!2016年逮捕令曝光,当场落网 菲律宾一名41岁女子9月27日在马尼拉国际机场3号航站楼办理出境手续时,被移民执法人员查出身负逮捕令,当场被拦截并移交警方。 警方核查发现,该逮捕令早在2016年5月17日签发,案件涉及两项非法招聘罪和两项诈骗罪,合计保释金为8.6万比索。逮捕令以该女子使用的别名签发。 移民人员通过系统核对身份后确认相关信息,随即阻止其继续出境,并由机场警方及马尼拉警区刑事调查部门接手。目前该女子已被暂时羁押,案件将按法律程序进一步处理。 此次事件也显示,菲律宾机场出境筛查不仅检查旅行证件,系统发现有效逮捕令后,相关人员也可能在出境时被拦截。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 棋牌竞技 充提秒到,大额无忧 V6娱乐·专业打造的一站式娱乐博彩…
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#泰国新闻 部长赴曼谷汶谷区视察水灾 发放2000份餐食 9月29日下午3时15分,泰国社会发展与人类安全部长尼功·颂康指派老龄事务厅厅长乔猜·威迁猜亚,会同国家住房局局长塔威蓬·威猜迪,前往曼谷汶谷区纳民路(素卡披班1巷)邦代寺,跟踪水灾形势及受灾民众救助工作。 工作组联合泰国红十字会志愿者基金会,现场制作2000份即食餐食,送往空讪地区受灾民众。社会发展与人类安全部民众福利紧急处置中心、社会救助中心1300热线及相关部门代表一同参与。官方表示,弱势群体及急需救助民众可拨打1300热线求助,全天24小时免费服务。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 棋牌竞技 充提秒到,大额无忧 V6娱乐·专业打造的一站式娱乐博彩平台 🌈活跃群组 东南亚博彩PG俱乐部 👨💻关注大事件曝光社:@B888
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#泰国新闻 素叻府农民集会递交请愿书 吁推进灌溉项目 9月30日下午,泰国素叻他尼府班塔坤县约100名农民聚集在拉差巴坝入口集市,向泰国电力生产局递交请愿书,要求推进班塔坤县农业管道灌溉项目。该项目自提出以来已拖延近40年,影响当地逾2000户农户。 农民代表、前素叻他尼府议会议员颂他蓬表示,拉差巴坝建成后,灌溉、发电、旅游和渔业四大目标中仅灌溉项目尚未落实,农民至今未受益。请愿书由拉差巴坝助理主任威拉接领,他表示将按程序逐级上报,转交灌溉厅审议预算安排。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 棋牌竞技 充提秒到,大额无忧 V6娱乐·专业打造的一站式娱乐博彩平台 🌈活跃群组 东南亚博彩PG俱乐部 👨💻关注大事件曝光社:@B88817 🌐投稿合作:@AA44567
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🥳 本来只是随手试一把,没抱太大期待,没想到几局下来,节奏突然就来了,直接一路连爆! 😘 在V6娱乐,很多人都说爆奖靠运气,但真正玩久了才知道,稳定心态、控制节奏,才是关键,该收的时候收,该冲的时候冲,每一步都很重要。 ⛹️♂️ 稳得住,才能接得住属于自己的那一波大奖。 💥 有时候你以为只是试试,其实可能就是下一次起飞的开始。 💰不多废话,马上开局,大奖等你拿! 😘🌟🌟真人视讯 🌟🌟🌟彩票竞猜 🌟🌟🌟电子娱乐 🌟🌟🌟高倍爆奖 🌟🌟🌟棋牌竞技 🌟🌟🌟: v60006.vip 🌟🌟🌟:@HT_V6 🌟🌟🌟:@V06_CC 🌟🌟🌟: htgj.vip 🌟🌟🌟🌟:@v6v6ccbot
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#柬埔寨禁毒 【柬埔寨9月28日破获5起毒品案件,抓获10名涉毒嫌疑人】 据柬埔寨执法部门报告,2026年9月28日,全国共侦破5起毒品犯罪案件,抓获涉案人员10名。其中,贩毒案3起,抓获7人;运输和持有毒品案2起,抓获3人。统计显示,自2026年1月1日至9月28日,全国执法部门共查获毒品案件7739起,逮捕涉案人员20823人,包含女性1443人。相关数据反映出柬埔寨禁毒工作力度持续加强。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 棋牌竞技 充提秒到,大额无忧 V6娱乐·专业打造的一站式娱乐博彩平台 🌈活跃群组 东南亚博彩PG俱乐部 👨💻关注大事件曝光社:@B88817 🌐投稿合作:@AA44567
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#菲律宾新闻 【菲律宾达斯马里尼亚斯市两天内连破两起毒品案件,3名高价值目标被捕,缴获价值约74万比索的冰毒】 据甲米地省警方通报,9月26日至27日,达斯马里尼亚斯市警察局连续展开两次诱捕行动,成功逮捕了3名涉嫌毒品交易的嫌疑人,查获疑似冰毒约140.55克,总估值达74万0588比索。9月26日,警方在圣埃斯特班村抓获化名“Bani”的一名高价值目标,缴获冰毒83.82克,估价约35万4824比索。次日,警方在圣伊西德罗拉布拉多第一村再次抓获化名“Dok”和“JC”的两名高价值目标,缴获56.73克疑似冰毒,估价约38万5764比索,同时从“Dok”处缴获一把枪支和弹药。目前,三人均被拘押,面临毒品相关指控,“Dok”还将因非法持枪被追加起诉。案件已进入司法程序。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 …
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#菲律宾新闻 【菲律宾新闻】马尼拉罗哈斯大道发生7车连环撞,3人受伤送医 据马尼拉警方通报,9月28日晚约10点30分,伊尔米塔区罗哈斯大道北向车道靠近佩德罗·希尔街路口发生一起多车连环撞事故,共有7辆车涉事,导致3人受伤。初步调查显示,事故发生时两辆摩托车因红灯停在路口等候,后方一辆丰田越野车、一辆小型货车、一辆绿色出租车和一辆厢式货车未能及时停车,接连追尾。丰田越野车首先撞上前方两辆摩托车,随后后续车辆逐一相撞。事故造成小型货车司机及出租车内两名乘客受伤,当地减灾管理部门救援人员迅速将伤者送医。涉事车辆损失金额尚未明确,交通执法部门已介入调查,以厘清事故原因和责任分担。 🌟🌟🌟🌟🌟🌟🌟🌟 😘🌟🌟 真人视讯 🌟🌟🌟 彩票竞猜 🌟🌟🌟 电子娱乐 🌟🌟🌟 高倍爆奖 🌟🌟🌟 棋牌竞技 充提秒到,大额无忧 V6娱乐·专业打造的一站式娱乐博彩平台 🌈活跃群组…
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Showing the 12 most recent of 1,007 posts we hold for @DNY8898. 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.
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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚华人大事件曝光” (@DNY8898), 98,438 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/DNY8898.
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.