#马来西亚大新闻 🇲🇾 几块钱的Parking Fees 都不想给😨
🤬1

Channel
@MYmalaysiabignews
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
65,512subscribers
+42,906 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002148913697 |
|---|---|
| Type | Channel |
| Username | @MYmalaysiabignews |
| Description | #马来西亚 #东南亚 #新闻 #大事件 🔗 t.me/womendeshidai1 🔗 t.me/malaysiabignews2 #黄片 #AV女优 #色情片 🔗 t.me/chinesesubtitle 🔗 t.me/Malaysiabignews3 #看电影 🔗 t.me/haokanmovie #备用 🔗 t.me/officialmalaysiabignews 🔗 t.me/avjapanfree 合作联系 t.me/qqmarketing77 |
| Created | Between 1 April 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/MYmalaysiabignews |
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 94% 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 |
|---|---|---|
| 17 Sept 2026, 19:20 | 65,512 | +12,856 |
| 15 Sept 2026, 16:37 | 52,656 | -2 |
| 13 Sept 2026, 21:19 | 52,658 | +10 |
| 12 Sept 2026, 04:00 | 52,648 | +18,529 |
| 9 Sept 2026, 19:59 | 34,119 | +11,624 |
| 6 Sept 2026, 10:01 | 22,495 | +5 |
| 2 Sept 2026, 13:23 | 22,490 | -5 |
| 1 Sept 2026, 14:54 | 22,495 | -17 |
| 31 Aug 2026, 13:07 | 22,512 | -7 |
| 30 Aug 2026, 10:57 | 22,519 | -3 |
| 29 Aug 2026, 09:36 | 22,522 | -4 |
| 28 Aug 2026, 07:47 | 22,526 | -3 |
| 27 Aug 2026, 06:49 | 22,529 | -8 |
| 26 Aug 2026, 08:53 | 22,537 | -16 |
| 25 Aug 2026, 05:37 | 22,553 | -9 |
| 24 Aug 2026, 02:12 | 22,562 | -8 |
| 22 Aug 2026, 10:06 | 22,570 | -7 |
| 21 Aug 2026, 02:43 | 22,577 | -1 |
| 20 Aug 2026, 05:17 | 22,578 | -11 |
| 19 Aug 2026, 08:38 | 22,589 | first reading |
961 posts held, back to 6 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 86 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 149 of 548 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 961 (6 August 2026 – 26 September 2026) |
| Views total | 270,805 |
| Reactions total | 270 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 17:06 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 26 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 523 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.
382 reactions across 200 posts, in 25 distinct kinds. The most used accounts for 35.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 134 | 35.1% | |
| 👍 | 55 | 14.4% | |
| 👏 | 24 | 6.28% | |
| 🤣 | 22 | 5.76% | |
| 🔥 | 21 | 5.50% | |
| 🤬 | 18 | 4.71% | |
| 😢 | 17 | 4.45% | |
| 🎉 | 16 | 4.19% | |
| 😍 | 14 | 3.66% | |
| 🤔 | 14 | 3.66% | |
| 😁 | 9 | 2.36% | |
| 💩 | 7 | 1.83% | |
| 😭 | 5 | 1.31% | |
| 🤡 | 4 | 1.05% | |
| 🌚 | 3 | 0.785% | |
| 😱 | 3 | 0.785% | |
| 🙏 | 3 | 0.785% | |
| 🥰 | 3 | 0.785% | |
| 👻 | 2 | 0.524% | |
| 💯 | 2 | 0.524% | |
| 5 further kinds | 6 | 1.57% |
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 259 of the 961 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 382 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 961 most recent posts we hold, published 6 August 2026 to 26 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @MYmalaysiabignews. 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 961 most recent posts we hold for this entry, published 6 August 2026 to 26 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.
#马来西亚大新闻 🇲🇾 几块钱的Parking Fees 都不想给😨
🤬1
#马来西亚大新闻 【国外】 麦当劳员工与顾客起争执😰
🔺马来西亚大新闻🔻 pinned a video
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#马来西亚大新闻 SSM联合MBSJKPDN雪兰莪及IWK开展整合执法行动 马来西亚雪兰莪州公司董事会SSM,加入由梳邦再也市议会MBSJ、国内贸易及消费人事务部KPDN雪兰莪分局、印达水公司IWK联合举办的整合执法行动。本次行动合计130名执法人员参与 行动期间SSM依据1956年商业注册法与1957年商业注册条例,发出三份通知,协同各单位完成联合稽查工作。
#马来西亚大新闻 布城两次突击检查移民局OPS PINTU抓捕84名PATI 马来西亚移民局布城分局在9月24日、25日开展OPS PINTU专项行动,先后突击商业场所与住宅区域。本次出动60名执法人员,一共检查321人,成功逮捕84名无证外籍人士,包含73男9女以及2名孩童 移民局提醒,房屋与场所业主切勿将地方租给没有合法证件的外国人,否则将会面临法律追责
#马来西亚大新闻 🇲🇾 流浪汉想好好的睡一觉都很难,这些流浪狗也太坏了😨
#马来西亚大新闻 🇲🇾 中国人逛电脑零件店,把盒子内的东西偷走,只留下空盒子😰
#马来西亚大新闻 拥有华人外婆精通中文大马王后用温柔推动多元社会包容 马来西亚王后Raja Zarith Sofiah出身霹雳王室,毕业于牛津大学中文研究系,通晓多国语言,出版4本童书,也是专栏作家与画家。她拥有华人外婆,曾发文表达多元种族包容理念,还长期关注心理健康、教育公益 她主张语言学习不等于不爱国,积极推动各族群互相理解,用自身经历诠释马来西亚多元包容的精神,深受国民爱戴。
#马来西亚大新闻 年少登顶满身伤痕吴堇溦带病征战浴火重返羽球场 马来西亚羽球女将吴堇溦年少成名,15岁斩获世青赛冠军,18岁勇夺青奥运女单金牌,前途备受看好,但常年饱受严重肠道疾病折磨,身体持续亮起红灯,即便病痛缠身,她依旧咬牙坚持训练征战赛场 19岁的她为根治顽疾,毅然接受切除整条大肠的重大手术,身心承受巨大代价,经历伤病、手术、短暂退役后,她勇敢走出低谷重返球场
#马来西亚大新闻 🇲🇾 马来西亚的生育率会提高,全都是靠罗兴亚人的功劳🤣
#马来西亚大新闻 🇲🇾 发生什么事哦?闹到需要在大庭广众之下打架😰
Showing the 12 most recent of 961 posts we hold for @MYmalaysiabignews. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 4 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.
Named by
Channels on the register whose posts name this channel's handle.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“🔺马来西亚大新闻🔻” (@MYmalaysiabignews), 65,512 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/MYmalaysiabignews.
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.