#马来西亚大新闻 吉隆坡MRT女性专属车厢亮相法国纪录片收获海外好评 马来西亚吉隆坡MRT粉色女性专属车厢登上法国旅游纪录片,收获海外观众好评。大马KTM率先推出女性车厢,后续MRT多条线路跟进,给女性乘客更安全的乘车选择。 这项本地人习以为常的设施得到国际肯定。一座城市的公共交通,不只是比拼硬件建设,更要守护弱势群体出行的安全感。

Channel
我们的时代
@womendeshidai1
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
18,093subscribers
-295 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 |
| 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 | 7 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/womendeshidai1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 13:37 | 18,093 | -35 |
| 4 Sept 2026, 19:59 | 18,128 | -17 |
| 3 Sept 2026, 05:52 | 18,145 | -16 |
| 2 Sept 2026, 00:22 | 18,161 | -9 |
| 30 Aug 2026, 22:34 | 18,170 | +14 |
| 30 Aug 2026, 00:18 | 18,156 | -13 |
| 28 Aug 2026, 20:53 | 18,169 | -10 |
| 28 Aug 2026, 00:15 | 18,179 | -8 |
| 27 Aug 2026, 03:07 | 18,187 | -16 |
| 25 Aug 2026, 23:57 | 18,203 | -14 |
| 25 Aug 2026, 02:53 | 18,217 | +2 |
| 23 Aug 2026, 20:26 | 18,215 | -6 |
| 22 Aug 2026, 07:45 | 18,221 | -15 |
| 21 Aug 2026, 00:54 | 18,236 | -13 |
| 19 Aug 2026, 22:55 | 18,249 | -4 |
| 19 Aug 2026, 01:46 | 18,253 | -13 |
| 18 Aug 2026, 01:02 | 18,266 | -16 |
| 16 Aug 2026, 21:54 | 18,282 | -14 |
| 15 Aug 2026, 16:26 | 18,296 | -25 |
| 14 Aug 2026, 07:06 | 18,321 | first reading |
Engagement
568 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 53 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.31%
- avg views ÷ 18,093 subscribers
- Avg views / post
- 417
- 483 posts measured
- Reaction rate
- 0.163%
- reactions ÷ views · ER floor
- Posts in window
- 507
- of 568 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 59 of 483 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 568 (6 August 2026 – 3 September 2026) |
| Views total | 201,643 |
| Reactions total | 52 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 08:56 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
- 15h 16m
- Average length
- 2m 45s
Measured directly from 334 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
68 reactions across 50 posts, in 13 distinct kinds. The most used accounts for 54.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 37 | 54.4% | |
| 💩 | 8 | 11.8% | |
| 🔥 | 6 | 8.82% | |
| 😁 | 5 | 7.35% | |
| 🤣 | 3 | 4.41% | |
| 🤔 | 2 | 2.94% | |
| 🌚 | 1 | 1.47% | |
| 👍 | 1 | 1.47% | |
| 😨 | 1 | 1.47% | |
| 😭 | 1 | 1.47% | |
| 😱 | 1 | 1.47% | |
| 🤯 | 1 | 1.47% | |
| 🥱 | 1 | 1.47% |
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 74 of the 568 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 68 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 568 most recent posts we hold, published 6 August 2026 to 3 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.
Recent posts
#马来西亚大新闻 吉隆坡火车站暖心插曲 马来大叔折返关照迷路中国女游客 中国女游客在吉隆坡火车站旅行最后一天迷路,不会操作购票机,手足无措,一名马来大叔上前帮忙找到购票机,离开后又折返,确认她会使用;随后帮她完成购票,还将她送到月台入口 视频传开后打动许多网友。举手帮忙本非义务,大叔折返的那一步,这份异乡的善意,成为游客在马来西亚最美好的回忆。
🇲🇾 巴士在高速上左右换道,疑似司机打瞌睡,结果真的发生车祸了😱
🇲🇾 Rohingya人民 Cosplay到路边乞讨,被本地人大骂🤬
#马来西亚大新闻 马六甲渔村少年刻苦求学出任反贪会主席 马来西亚反贪会主席阿都哈林阿曼来自马六甲渔村。幼时家境清贫,受老师启发,他考取马大法律系,凭奖学金完成学业成为首位司法背景的反贪会主席。 贫寒出身见证他的奋斗,民众期待他保持独立公正,秉公处理案件,不忘底层百姓的期许。
#马来西亚大新闻 马来西亚布城十亿乡区拨款搁置引争议 马来西亚布城乡区发展部近10亿令吉拨款迟迟未下放,副首相扎希对此表达不满,巫统主席阿克玛也公开提出质疑,追问政府是否资金紧张。不少项目承包商已经完工却拿不到工程款 拨款迟迟没有到位引发舆论热议,民众质疑问题究竟出在审批流程繁琐、文件积压,还是其他人为因素,呼吁当局公开作出交代
🇲🇾 马来西亚稳定支付通道✨ PAYMENT GATEWAY🖱 ✅ T+0即时结算,资金快速回笼 ✅ 仿原生交互,交易成功率🟠🟠🟠+ ✅ 通道信誉过硬,提升客户交易信心 ✅ 7️⃣✖️2️⃣4️⃣小时在线客服💬 问题即刻响应,稳定收付,助力业务高效运转 ➡️可结算多达🟠🔴种国家货币 ➡️可结算USDT ➡️只接正规BC平台 联系代理商 ✈️ @qqmarketing77
🇲🇾 摩托大军出没了‼️ 霸占着路,又不能拿他们怎么办🙂
🇲🇾 发生在安邦雪兰莪,误踩油门冲破停车场混凝土围墙,墙体倒塌压坏5辆车😱
#马来西亚大新闻 大马单亲妈妈九年守护病女 全民募捐凑齐费用 马来西亚单亲妈妈Kogila独自照顾身患三种罕见病的女儿Yaashika九年,丈夫早已离家。女孩需靠气管造口和饲管维持生命,护理负担沉重。 消息传出,大马各界民众踊跃捐助,72小时筹齐全部款项。各族陌生人伸出援手,盼女孩手术顺利,恢复自主呼吸。
#马来西亚大新闻 雪兰莪加叻大道货车泄漏,水务紧急处置守护鹅唛河 马来西亚雪兰莪加叻大道发生货车事故,液压油泄漏,油污顺着排水沟流淌,距离鹅唛河取水口仅4公里,存在污染饮用水源的风险,雪兰莪水务部门迅速到场,布设吸油垫、围堰拦截油污。 抢险团队连夜作业,9月2日凌晨完成油污清理并移走事故车辆。经复查确认,没有油污流入河道,当地水源安全无恙。
Kau tahu aku siapa?? Kepala hotak kau..😂
Showing the 12 most recent of 568 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 · 13,63728 posts🏆九博国际@JBGJ🏆上下分群 总押900万美金
@jiubovip · 8,80428 posts我撸了,你撸了吗?
@chinesesubtitle · 6,6818 posts撸就对了(备用群)
@avjapanfree · 5432 posts🔺 马来西亚大新闻2.0 🔻
@malaysiabignews2 · 1,6292 posts🔺马来西亚大新闻🔻
@MYmalaysiabignews · 34,1192 posts防封群🔞
@Mymalaysiabignews2 · 562 posts备用(防封群)
@officialmalaysiabignews · 2372 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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“我们的时代” (@womendeshidai1), 18,093 subscribers as measured 7 September 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.