至少56名马来西亚人囚于泰国南部 马来西亚驻宋卡总领事艾哈迈德·法赫米·艾哈迈德·萨尔卡维表示,截至9月3日,至少56名马来西亚人在泰国南部服刑,其中44人因毒品犯罪被定罪,主要涉及走私。另有4人因充当网络诈骗的钱骡账户持有人入狱。囚犯分布在6所监狱,超过半数即30人关押在那拉提瓦省级中央监狱。刑期从1年至37年不等,另有1人服无期徒刑,1人因谋杀案面临死刑。总领事称领事馆每年进行约五次监狱探访,并为即将获释者签发紧急证书以便返回马来西亚。
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Channel
@dnyuuu88
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
124,224subscribers
+9,614 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001430856828 |
|---|---|
| Type | Channel |
| Username | @dnyuuu88 |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/dnyuuu88 |
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 12:48 | 124,224 | -1,674 |
| 6 Nov 2026, 10:18 | 125,898 | -69 |
| 5 Nov 2026, 10:39 | 125,967 | -125 |
| 4 Nov 2026, 08:26 | 126,092 | +1,260 |
| 3 Nov 2026, 07:14 | 124,832 | -110 |
| 2 Nov 2026, 06:37 | 124,942 | -333 |
| 1 Nov 2026, 08:16 | 125,275 | -479 |
| 31 Oct 2026, 07:01 | 125,754 | +906 |
| 30 Oct 2026, 03:48 | 124,848 | -3,122 |
| 29 Oct 2026, 00:30 | 127,970 | -1,939 |
| 27 Oct 2026, 19:49 | 129,909 | -536 |
| 26 Oct 2026, 20:27 | 130,445 | -1,049 |
| 25 Oct 2026, 22:40 | 131,494 | -380 |
| 24 Oct 2026, 23:16 | 131,874 | -971 |
| 23 Oct 2026, 22:06 | 132,845 | -5,435 |
| 22 Oct 2026, 21:47 | 138,280 | -5,822 |
| 21 Oct 2026, 15:37 | 144,102 | -797 |
| 20 Oct 2026, 09:56 | 144,899 | -1,095 |
| 19 Oct 2026, 10:49 | 145,994 | +1,206 |
| 18 Oct 2026, 13:37 | 144,788 | first reading |
1,609 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 191 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 454 of 459 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 1,609 (7 August 2026 – 7 November 2026) |
| Views total | 2,795,869 |
| Reactions total | 7,897 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 06:20 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.
Measured directly from 24 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.
17,105 reactions across 988 posts, in 12 distinct kinds. The most used accounts for 16.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,772 | 16.2% | |
| 🎉 | 2,223 | 13.0% | |
| 🔥 | 1,984 | 11.6% | |
| ❤ | 1,971 | 11.5% | |
| 🤩 | 1,769 | 10.3% | |
| 😍 | 1,692 | 9.89% | |
| 💯 | 1,562 | 9.13% | |
| 🥰 | 1,519 | 8.88% | |
| ❤🔥 | 1,475 | 8.62% | |
| 👏 | 112 | 0.655% | |
| 😁 | 20 | 0.117% | |
| ⚡ | 6 | 0.035% |
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 989 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 17,105 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 11 September 2026 to 7 November 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dnyuuu88. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 11 September 2026 to 7 November 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.
Telegram’s own ‘edited’ marker: 0 of 459 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
至少56名马来西亚人囚于泰国南部 马来西亚驻宋卡总领事艾哈迈德·法赫米·艾哈迈德·萨尔卡维表示,截至9月3日,至少56名马来西亚人在泰国南部服刑,其中44人因毒品犯罪被定罪,主要涉及走私。另有4人因充当网络诈骗的钱骡账户持有人入狱。囚犯分布在6所监狱,超过半数即30人关押在那拉提瓦省级中央监狱。刑期从1年至37年不等,另有1人服无期徒刑,1人因谋杀案面临死刑。总领事称领事馆每年进行约五次监狱探访,并为即将获释者签发紧急证书以便返回马来西亚。
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马来西亚对中国台湾越南扁平材征反倾销税 马来西亚投资、贸易和工业部宣布,对来自中国、台湾和越南的扁平轧制钢材产品征收4.41%至35.06%的临时反倾销税,即日生效,期限最长120天。该部表示,初步调查发现存在倾销证据,征税旨在防止对国内产业造成进一步损害。此次调查涉及镀铝锌的其他合金钢及非合金钢扁平轧制产品,源于NS Bluescope Malaysia公司的申诉,称相关产品在马来西亚的售价低于其国内市场售价。最终裁定预计不迟于2027年3月6日作出。
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士毛月峇都亚兰-伊约路因山体滑坡全面封闭 雪兰莪州拉旺附近峇都亚兰-伊约路(Jalan Batu Arang-Ijok)因发生山体滑坡,已双向全面封闭。鹅唛警区主任依布拉欣·胡辛助理警察总监表示,警方于周四晚约11时接获通报。初步调查显示,滑坡由上下边坡及部分道路结构崩塌所致,从伊约往拉旺方向的车道已不适合通行,因此双向封路。事件未造成人员伤亡,当局仍在调查滑坡的确切原因。
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雪兰莪与霹雳水灾疏散人数增至1404人 截至11月7日上午9时,雪兰莪与霹雳两州的水灾受灾人数持续上升,共有来自374户家庭的1404人被安置在临时疏散中心,较前一日的1269人增加。雪兰莪州受灾人数为1206人、涉及316户家庭,分布在9个疏散中心,瓜拉雪兰莪和莎阿南等地人数有所增加。霹雳州受灾人数增至198人、涉及58户家庭,下霹雳和曼绒县受影响,当局因人数上升新开设疏散中心。马来西亚气象局预测霹雳州大部分地区将出现雷暴天气,可能影响救援工作。
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阿联酋允许医生紧急情况下超速40公里 阿联酋宣布,经授权的医生、急救人员及其他必要工作人员在应对紧急情况时,可超速行驶最高40公里/小时。该规定适用于卫生与预防部认定的必要岗位人员,前提是保持安全驾驶并携带相应授权文件。官员表示,此举旨在缩短应急响应时间、改善患者救治效果。分析认为,该政策可能降低私营医院和诊所的运营成本,并可能促使保险公司重新调整医疗运输服务的保费。与此同时,阿联酋近期还出现马拉松参赛者猝死事件,引发对大型体育赛事安全协议的关注;美国法院就韩国组合BTS相关版权诉讼作出裁决,也凸显版权执法的复杂性。
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阿联酋经理与员工感人互动获酋长分享 工程师纳瓦尔·阿尔·希奈庆祝员工阿卜杜拉·阿尔·哈马迪获得“未来工作最佳员工奖章”。阿联酋副总统兼总理、迪拜酋长谢赫·穆罕默德在Instagram上分享了这段经理与员工共同庆祝的片段,并在社交平台上向他们表示祝贺。来源材料未提供更多事件细节。
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阿姆斯特丹抗议者闯入微软数据中心工地 11月6日,荷兰阿姆斯特丹抗议者闯入微软新建数据中心工地,部分人攀爬起重机并点燃信号弹,与警方发生冲突。抗议组织“Geef Tegengas”成员蒂默称,占领工地旨在阻止施工,并称该项目仅用于人工智能。警方傍晚开始将抗议者带离现场,部分人仍留守。微软表示尊重和平表达,但不纵容违法或危及安全的行为。活动人士计划6日至7日在爱尔兰、波兰、丹麦等15个欧洲国家发起“停止肮脏数据中心”行动,要求暂停大型数据中心开发。德国柏林郊区亦有约十余名抗议者聚集。意大利米兰10月10日曾举行超千人全国示威。
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研究:海藻营养丰富 有益肠道与蛋白质补充 海藻并非植物,而是数千种海洋藻类的统称。常见可食用品种包括紫菜、裙带菜和海带。海藻富含多糖,部分多糖需肠道有益微生物帮助消化,微生物发酵后产生短链脂肪酸,有助修复肠道内壁细胞。海藻还含有人体所需的全部九种必需氨基酸,干燥紫菜按重量计蛋白质含量最高可达47%。此外,海藻富含铁和维生素B12,五克干燥紫菜约含1.4毫克铁,一片干燥紫菜约含每日所需维生素B12的80%。但部分海藻碘含量可能过高,需注意摄入量。
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爱尔兰42-12大胜阿根廷 基南上演帽子戏法 都柏林11月6日,爱尔兰在英杰华球场以42-12大胜阿根廷,雨果·基南上演帽子戏法。谢汉、普伦德加斯特和凯莱赫各贡献一记达阵。阿根廷仅由马特奥·卡雷拉斯两次达阵得分。爱尔兰主帅法雷尔赛后表示,赛季首战面对强队以42-12取胜令人满意,球队接下来将着力提升标准、追求更好表现。此役爱尔兰多名球员伤愈复出,汉森、波特和贝尔德均有出色发挥。爱尔兰本周末在赛事北部赛区排名第四,接下来将主场迎战斐济和南非;阿根廷则将前往意大利和法国。
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美就业数据公布后科技股部分反弹美元走强 美国就业数据公布后,科技股出现部分反弹,美元同时走强。报道配图为2026年11月6日纽约证券交易所交易大厅的场景。材料未提供具体股指涨幅、就业数据细节及美元汇率变动幅度。
❤🔥5🎉4❤3
南湖镇交通综合终站预计屠妖节期间接待17.5万乘客 吉隆坡11月6日讯,南湖镇交通综合终站(TBS)预计在今年屠妖节期间接待约17.5万名乘客,较去年同期增长20%。TMAS公司首席执行官沙兹万表示,从昨日开始至11月11日的七天内,日均客流量约2.5万人次,期间预计有1万趟巴士发车、超过4000趟抵达。为应对需求,TBS将增派人员并聘请兼职员工,同时要求在线票务代理安排人员协助乘客。沙兹万称,学校假期及外国游客临时购票也推高了客流,东海岸路线需求旺盛,部分目的地车票已售罄,将加开班次。他提醒通过在线代理购票的乘客须取得带二维码的登机凭证,否则需联系代理处理,建议改用TBS应用或网站购票并提前到站。
💯5😍5❤🔥4
WTA总决赛训练场因佩古拉言论直播停录音 WTA主席瓦莱丽·卡米洛11月6日表示,在佩古拉关于安德列娃的私下评论被直播后,WTA总决赛训练场已停止录音。本周WTA YouTube频道直播训练时,麦克风录到世界第五佩古拉与教练诺尔斯的对话,她称法网冠军安德列娃是“一个作秀的人”,相关言论随后在社交媒体传播。卡米洛承认现场缺乏标识和告知,称录音已撤下,训练场不再录音。佩古拉对ESPN称这是“不幸的情况”,希望借此推动球员隐私保护。WTA总决赛11月15日结束。
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Showing the 12 most recent of 1,609 posts we hold for @dnyuuu88. 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.
We recorded 11 posts on @dnyuuu88 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 14 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 24 seed channels' Telegram-generated recommendation lists in total, of which the 23 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“迪拜新闻大事件-马来西亚吉隆坡吃瓜” (@dnyuuu88), 124,224 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/dnyuuu88.
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.