#网友投稿 穷人无法翻身的原因 想明白一件事儿,你就脱胎换骨了。在我没钱的时候,我就骑电动车出门,那时候我怕遇见熟人,怕丢面子,当我买了车的时候,再骑电动车出门,我就不怕了。 万物本闲,唯有心闲,手上戴了一块2000块钱的表,饭桌上就有人聊起手表了,说不到2000块钱的手表怎么戴啊?机芯没机芯,要做工,没做工的带出去没面子。 这个时候你心里是什么感觉?但是你手上要是带的是块劳力士,你又是什么感觉?记住前后这两种感觉啊。然后思考一个事儿,为什么说话的人没变,前后说的话也没变你的感受怎么就变了呢? 做生意做产品也一样,蛋糕店里卖蛋糕,那有的人就特别爱吃,有的人就不爱吃甜食,但是不论别人爱吃不爱吃,那个蛋糕就在那啊,没有任何变化,这就是这个世界的一种真相,十方空无意,众生其分别。所谓。果园就是一堆草,长在一片平地上,不代表自由和辽阔,大山也就是大山,没有巍峨和雄壮,这些定义都是看到的人决定的。 看透这个本质以后,你就会发现啊,…

Channel
东南亚大事件 柬埔寨大事件 西港大事件
@PP605
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
44,197subscribers
-3,062 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001314924649 |
|---|---|
| Type | Channel |
| Username | @PP605 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 我们欢迎所有真实的分享,无论是顺风顺水的成功经验,还是灰头土脸的踩坑体验,都可以成为别人判断与选择的宝贵参考。 投稿/求助/爆料: @kn8n8 🤖 投稿机器人: @PP605bot 🌏 东南亚交流群: @BB304 📬 功能板块: #爆料 #求助 #曝光,一应俱全 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 3 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/PP605 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 07:06 | 44,197 | -23 |
| 1 Sept 2026, 23:48 | 44,220 | -215 |
| 1 Sept 2026, 02:18 | 44,435 | -257 |
| 31 Aug 2026, 03:38 | 44,692 | -74 |
| 30 Aug 2026, 01:28 | 44,766 | -47 |
| 28 Aug 2026, 23:23 | 44,813 | -22 |
| 27 Aug 2026, 20:44 | 44,835 | -10 |
| 26 Aug 2026, 23:57 | 44,845 | -4 |
| 26 Aug 2026, 02:32 | 44,849 | -158 |
| 25 Aug 2026, 01:14 | 45,007 | -75 |
| 23 Aug 2026, 12:22 | 45,082 | -24 |
| 21 Aug 2026, 22:14 | 45,106 | -23 |
| 20 Aug 2026, 15:42 | 45,129 | -64 |
| 19 Aug 2026, 16:16 | 45,193 | -248 |
| 18 Aug 2026, 14:44 | 45,441 | -344 |
| 17 Aug 2026, 12:57 | 45,785 | -155 |
| 16 Aug 2026, 06:03 | 45,940 | -120 |
| 14 Aug 2026, 18:35 | 46,060 | -219 |
| 13 Aug 2026, 11:26 | 46,279 | -362 |
| 12 Aug 2026, 09:17 | 46,641 | first reading |
Engagement
566 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 59 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.67%
- avg views ÷ 44,197 subscribers
- Avg views / post
- 1,180
- 566 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 566
- of 566 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.
| Window | Rolling 30 days · latest post in window 4 September 2026 |
|---|---|
| Posts held | 566 (7 August 2026 – 4 September 2026) |
| Views total | 667,730 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Sept 2026, 21:01 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
- ≈16,000
- Videos
- ≈4,250
- Links
- ≈11,300
Lifetime counters from Telegram’s own channel header, read 4 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.
- Video runtime
- 2h 06m
- Average length
- 46s
Measured directly from 164 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.
Recent posts
#网友投稿 妖风阵阵已刮到伊斯兰堡 自从七八月份巴铁政府的军警严打外国人电诈菠菜公司之后还在伊斯兰堡公寓里面敲键盘的我们是一天比一天更慌张。 近期在群里吃瓜看到几则伊斯兰堡某些公司员工离职后举报曝光公司领导办公住址的消息以为会离我们很远,得知一些情况后才发现这种事情随时可能发生在我们自己公司甚至是自己住的公寓房子里面。 我们集团也算是在伊斯兰堡比较大的公司,集团几个分部加起来员工人数妥妥的超五百,员工里面的外籍人数占百分之六十左右。我们公司的安全潜在问题就出在几个从东南亚国家招聘来的外籍员工身上,占着自己会说一口流利的中英文又在后勤行政部护照管理这些职能部门任职,某些上级领导也经常打压克扣部分外籍员工。 我们公司已经有可靠消息传出来月头领了工资离职的一些员工正在向伊斯兰堡警方提供证据实施举报公司的行为。这些人的动机是捞钱自保还是纯粹的是个人想报复打击公司领导都有可能,反正在斯里兰堡这阵举报曝光的妖风已起,在这边干黑产灰产…
#孟加拉国新闻 酒店突查抓6名中国人,一次查出1938部iPhone和数十台电脑 孟加拉国警方9月4日公布,9月3日晚突查科克斯巴扎尔市海宫酒店,拘留6名中国公民,涉及网络赌博、网络诈骗等网络犯罪。 酒店内查出1938部iPhone、30至40台笔记本电脑,以及一批通信设备,数量十分庞大。 这次行动由拉穆警察局接到的一宗投诉牵出,达卡警方随后提供相关线索。6名中国公民已经因涉嫌网络诈骗和网络犯罪被立案调查。 酒店记录显示,一批中国公民8月26日入住海宫酒店,9月3日晚警方展开突查后,其中6人被带走。 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
#网友投稿 东躲北逃还是被抓🙈 8月26日清晨一早我们5个人从老挝万荣出发去丰沙湾那边准备晚上偷渡去越南,因为不是第一次偷渡所以提前把所有的行程路线和两国边界上接送我们的人都已安排好。 在我们开车快进到丰沙湾的时候接到线人发来的消息告知有警察在路上查进丰沙湾的车,我们这几个人身上都是带的假护照和签证当然是绕开检查最好,我们就临时掉头往桑怒方向开打算躲几个小时等路上检查的警察撤走后再去丰沙湾。 好巧不巧去桑怒的半道上又突然遇到了3辆拦路检查的警车,警察看我们车子上多半坐的是外国人就要查我们的证件,我一个朋友会老挝语与警察沟通拿了些钱准备塞给警察,这些警察还不接钱一定要先查看我们的护照,我朋友有点生气就用老挝语骂了几句,这下好把全部的警察都吸引过来围住我们。 警察把我们都叫下车站好不要动,警察亲自上车去搜我们的包包和证件,一共搜到12本护照后强行把我们带走去警局。 晚上我们就叫到了老挝本地朋友帮忙给钱来捞我们出去,警察队长…
#台湾新闻 新北选前大扫赌81案210人落网,网络赌博和选举赌盘占了近六成 9月4日,新北警方公布选前扫赌成果,共查获81宗赌博案件、210人到案,查扣现金178万1447元新台币。 这批案件中,实体赌场27案、148人,“六合彩”签赌7案、7人,网络赌博及选举赌盘多达47案、55人,占全部案件近六成。 其中,30岁吴姓男子在树林区一处住宅内架设网络赌博机房,担任赌博网站代理并招揽赌客。警方9月1日搜索时,多台电脑仍保持24小时连线运作,查扣博弈电脑2组、手机3部,以及77万8000元新台币犯罪所得。 吴姓男子随后被移送新北地方检察署侦办,警方继续追查网站幕后经营者和资金流向。 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
瓦城打野被抓?曼德勒市区电诈窝点遭军方突袭,至少10人被捕! 据缅媒援引当地知情人士消息,9月2日,由缅甸军方、警方及民团组织人员组成的联合执法小组,对曼德勒玛哈昂咩镇,80条街、39‑40条街之间一处民宅开展突击搜查,该处房屋涉嫌被用作网络诈骗窝点,现场大约10人被拘捕。 另据BBC援引现场目击者表述,被捕人员当中包含部分中国籍人员,其中有女性。 消息称,行动期间执法人员查扣电脑、笔记本、手机等一批电子设备,将物证打包后运离现场。 截至目前,内比都(军政府)方面未就本次搜查行动发布公开声明。媒体尝试联系玛哈昂咩镇第9号警察局核实抓捕细节,暂未得到回应。 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
#网友投稿 ❤️胡志明1郡酒吧街 越南妹都玩这么大的嘛 好白好嫩 这屁股看的好激动~~🤣 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
波贝突查多个涉嫌网络诈骗场所 9月4日,柬埔寨国家警察总署与班迭棉吉省行政统一指挥委员会继续在波贝市开展行动,突查涉嫌从事网络诈骗的场所。 此次共检查多个地点,包括玛丽娜国际赌场、KMH赌场大楼以及一栋出租楼房。其中,KMH赌场大楼此前已因涉嫌网络诈骗被查封。 检查发现,一栋5层出租楼房目前已闲置,没有人居住,也未发现网络诈骗迹象。 另外,警方还接到举报,称奥哲鲁分区一栋别墅内有外国人疑似搬入设备从事网络诈骗。工作组到场检查后发现,里面住着3名中国籍男子,均持有有效护照和签证,现场也未发现与网络诈骗有关的迹象。 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
柬埔寨移民总局局长宋威西那在接受媒体采访时明确: 因电诈或非法入境被驱逐者,将被禁止入境柬埔寨至少5年;禁止期满后,若无明确合规事由,仍将被拒绝入境! 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
林肯号航母上的美军 下地在芭提雅的夜生活 虽然当地已经临时扫黄 但搞点健康正能量活动没毛病吧~~ 话说,芭提雅这些美眉质量是真不错😂 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
马来西亚砂拉越州西连县因严重烟霾宣布进入紧急状态 #马来西亚资讯 马来西亚周五宣布,砂拉越州西连县进入紧急状态。受印度尼西亚森林大火产生的浓烟影响,当地烟霾严重,空气污染指数已经升至危险水平。这是路透社9月4日的报道。 西连县空气污染指数(API)升至519,超过500的紧急状态标准。马来西亚国王苏丹易卜拉欣在总理安瓦尔·易卜拉欣的建议下,批准宣布紧急状态。 此次紧急措施覆盖西连县半径20公里范围,必要的公共服务仍会正常运作,当局也在加快人工降雨作业。 据了解,印度尼西亚一侧婆罗洲岛的森林大火产生大量有毒烟霾,严重影响砂拉越州,部分地区的学校也被迫暂时停课。&& 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
#群友投稿:越南平阳今晚,两帮派人员街头火拼,双方展开激烈械斗,现场场面十分混乱,战斗力相当“凶猛”。 📣 订阅 东南亚大事件 频道 ↓ 🔗 https://t.me/PP605 ✅投稿澄清爆料: @kn8n8
Showing the 12 most recent of 566 posts we hold for @PP605. 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.
Mentions
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.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件 柬埔寨大事件 西港大事件” (@PP605), 44,197 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/PP605.
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.