#马来西亚大新闻 古晋警方逮捕一名有十二项前科抢劫嫌犯 马来西亚古晋警方在10月24日凌晨1点29分,成功逮捕一名33岁本地男子。这名男子涉嫌在古晋一带多次抢劫,其中就包括10月21日德马克发生的抢劫案。 经查,嫌疑人身上共有12项前科记录,检测结果为阳性,目前被拘留5天。案件依据刑法第392条调查,一旦定罪最高可判14年监禁

Channel
我们的时代
@womendeshidai1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
28,013subscribers
+9,625 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002670819819 |
|---|---|
| Type | Channel |
| Username | @womendeshidai1 |
| Description | #马来西亚 #东南亚 #新闻 #大事件 🔗 t.me/MYmalaysiabignews 🔗 t.me/malaysiabignews2 #AV女优 #色情片 #黄片 🔗 t.me/chinesesubtitle 🔗 t.me/Malaysiabignews3 #看电影 🔗 t.me/haokanmovie #防封 🔗 t.me/officialmalaysiabignews 🔗 t.me/avjapanfree 合作联系 t.me/qqmarketing77 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 31 October 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 31 October 2026 |
| On Telegram | t.me/womendeshidai1 |
Topic
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Oct 2026, 10:58 | 28,013 | -6 |
| 30 Oct 2026, 14:15 | 28,019 | -4 |
| 29 Oct 2026, 12:31 | 28,023 | -15 |
| 28 Oct 2026, 12:16 | 28,038 | -16 |
| 27 Oct 2026, 10:27 | 28,054 | -13 |
| 25 Oct 2026, 12:17 | 28,067 | -1 |
| 24 Oct 2026, 14:46 | 28,068 | -5 |
| 23 Oct 2026, 17:41 | 28,073 | -11 |
| 22 Oct 2026, 14:50 | 28,084 | +9,296 |
| 21 Oct 2026, 10:06 | 18,788 | +719 |
| 20 Oct 2026, 10:58 | 18,069 | +26 |
| 19 Oct 2026, 10:55 | 18,043 | +134 |
| 18 Oct 2026, 14:15 | 17,909 | +22 |
| 17 Oct 2026, 16:18 | 17,887 | -15 |
| 16 Oct 2026, 14:17 | 17,902 | -9 |
| 15 Oct 2026, 13:11 | 17,911 | -18 |
| 14 Oct 2026, 10:56 | 17,929 | -10 |
| 12 Oct 2026, 19:10 | 17,939 | -59 |
| 8 Oct 2026, 04:56 | 17,998 | -29 |
| 3 Oct 2026, 17:01 | 18,027 | first reading |
Engagement
734 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 71 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.41%
- avg views ÷ 28,013 subscribers
- Avg views / post
- 395
- 158 posts measured
- Reaction rate
- 0.148%
- reactions ÷ views · ER floor
- Posts in window
- 166
- of 734 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 20 of 158 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 October 2026 |
|---|---|
| Posts held | 734 (6 August 2026 – 31 October 2026) |
| Views total | 62,390 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Nov 2026, 01:45 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
- Photos
- ≈1,370
- Videos
- ≈3,530
- Links
- ≈486
Lifetime counters from Telegram’s own channel header, read 1 November 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.
- Video runtime
- 16h 01m
- Average length
- 2m 20s
Measured directly from 412 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
82 reactions across 62 posts, in 13 distinct kinds. The most used accounts for 61.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 50 | 61.0% | |
| 💩 | 8 | 9.76% | |
| 🔥 | 6 | 7.32% | |
| 😁 | 5 | 6.10% | |
| 🤔 | 3 | 3.66% | |
| 🤣 | 3 | 3.66% | |
| 🌚 | 1 | 1.22% | |
| 👍 | 1 | 1.22% | |
| 😨 | 1 | 1.22% | |
| 😭 | 1 | 1.22% | |
| 😱 | 1 | 1.22% | |
| 🤯 | 1 | 1.22% | |
| 🥱 | 1 | 1.22% |
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 94 of the 734 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 734 most recent posts we hold, published 6 August 2026 to 31 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
#马来西亚大新闻 槟城持续暴雨狂风引发十四宗树倒断枝市政厅紧急清障 马来西亚槟岛昨晚下起持续暴雨,伴随强风,岛内接连出现14宗树木倒塌、树枝断裂事件,其中两起意外波及车辆,造成车辆受损。槟岛市政厅MBPP快捷队接报后迅速到场处置。 截至下午2时,铜锣路、峇六拜等9处障碍点已经清理完成,道路恢复通行。垄尾、峇都蛮JPJ前方等5处路段仍在加紧赶工清理
我们的时代 pinned a video
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🇲🇾 发生在柔佛!不懂什么到底有深仇大恨,下手狠毒😱
#马来西亚大新闻 柔佛新婚男子下班未穿安全衣被酒驾司机撞击身亡 马来西亚男子Faris才新婚四个月,悲剧突如其来。事发当时,他和同事收拾东西准备下班,还没穿上安全衣,就被车辆撞上。驾驶该车的26岁司机,血液酒精超标,属于酒驾肇事,司机本身也受伤。 父亲Fazli悲痛不已,事发时母亲就在车上。好好的新家庭就此破碎,家属希望相关法律收紧,加重酒驾者的惩处。
#马来西亚大新闻 吉隆坡警方打击犯罪行动逮捕55人 马来西亚吉隆坡警方展开代号打击犯罪行动01/2026的突击行动,一共逮捕55人,当中53人为中国公民。第一场突击针对陈秀连路一间无牌照娱乐中心,当场拘捕50人 另一场搜查在KLCC附近住宅进行,捣破营运三个月的扑克赌局,拘捕5名男子,起获扑克牌、筹码以及3870令吉赌资,5人获准还押三天协助调查。
🇲🇾 咖啡店纠纷,大家看看就好😉
🇲🇾 发生什么事? 是半路遇到疯婆子?😨
#马来西亚大新闻 斗湖女子二度招揽性服务被判六个月监禁 马来西亚斗湖一名19岁女子Nurul Syahfathin Puteri Sofea,通过WhatsApp招揽性服务,警方伪装顾客突击抓人,现场起获150令吉现金等证物。 她去年已经犯下相同罪名,当时法庭给予改过机会。法官斥责其不知悔改,最终判处六个月监禁,刑期从逮捕当天算起。
#马来西亚大新闻 槟城连夜暴雨引发闪电水灾树倒泥滑多区域受影响 马来西亚槟城凌晨降下大雨,多地出现闪电水灾、树木倾倒以及小型山坡泥滑。Bukit Kukus高架路积水淹至膝盖,两辆车子受困;浮罗山背一棵六米榴莲树倒下压到房屋与车辆 万幸无人受伤,Farlim也有树倒和泥沙滑落,提醒居民与驾驶者,途经低洼、山坡路段务必小心,不要强行开过积水区,注意自身安全。
🇲🇾 棒棒哥做一回真男人了👍🏻 就问你们棒不棒?
Showing the 12 most recent of 734 posts we hold for @womendeshidai1. 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.
Forward network
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.
Mentions
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.
@jbgj · 19,28132 posts🏆九博国际@JBGJ🏆上下分群 总押900万美金
@jiubovip · 8,57432 posts我撸了,你撸了吗?
@chinesesubtitle · 18,5358 posts好看的电影GoodMovie
@haokanmovie · 4,8967 posts撸就对了(备用群)
@avjapanfree · 1,2292 posts🔺 马来西亚大新闻2.0 🔻
@malaysiabignews2 · 29,6442 posts马来西亚大新闻 X 我撸了
@Malaysiabignews3 · 17,3512 posts🔺马来西亚大新闻🔻
@MYmalaysiabignews · 146,4302 posts防封群🔞
@Mymalaysiabignews2 · 1382 posts备用(防封群)
@officialmalaysiabignews · 8742 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 31 October 2026 — this entry's latest reading, not the date you are reading this.
“我们的时代” (@womendeshidai1), 28,013 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/womendeshidai1.
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.