#性方面成瘾的经历 网友,也就是性瘾。之前在国内的时候,我都是跟女朋友一天要干三次。我刚开始以为,是因为我身边有女人的缘故。 但是,我来到东南亚之后,还是这样。不喝酒的时候还好,喝完酒就想去嫖娼。平时不喝酒,也会想着打飞机。刚开始都是几天打一次,最近几个月基本上每天都打,白天一次,晚上一次。 有的时候赌博输了,心情烦躁,睡不着,要打个飞机才睡得着。很多时候都是这样。我现在感觉身体都虚透了,但是我还是忍不住打。 每次都是自己给自己洗脑,都告诉自己:“反正休息睡一觉精子量明天也会恢复回来。” 但是,我能感觉到我现在身体很差劲。走路走两步就会喘,在一个闷热的环境下,待一分钟就要出汗,而且一直出。 前两天,我在TK上约了小姐姐出来,饭吃好了带回房间,前戏弄了有五分钟,当时隐隐约约感觉自己就快忍不住了,要射了,一直再忍,最后实在忍不住了,裤子刚脱下来就感觉牛子传来一股高压炙热的温度,我还没有反应过来就射在了小姐姐的衣服上,真的…

Channel
🇰🇭东南亚局势 @jushi
@jushi
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
3,284subscribers
-17 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001109776137 |
|---|---|
| Type | Channel |
| Username | @jushi |
| Created | Between 1 February 2017 and 31 March 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/jushi |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:16 | 3,284 | -3 |
| 10 Aug 2026, 05:11 | 3,287 | -13 |
| 7 Aug 2026, 07:24 | 3,300 | -1 |
| 7 Aug 2026, 04:01 | 3,301 | first reading |
Engagement
26 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 3 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.349%
- avg views ÷ 3,284 subscribers
- Avg views / post
- 11.5
- 26 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 26
- of 26 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 7 August 2026 |
|---|---|
| Posts held | 26 (6 August 2026 – 7 August 2026) |
| Views total | 298 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:29 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
- 1m 09s
- Average length
- 14s
Measured directly from 5 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
#缅甸资讯:景栋打击网络诈骗团伙,抓获156人并缴获大量作案工具 CNA2026年8月7日报道:据了解,缅甸掸邦(东部)景栋镇区一处非法电信网络诈骗及赌博窝点遭安全联合部队突击搜查,抓获包括多数外国人在内的156人。 报道称,该窝点位于果卡(Kat Hpa)村行政村瑙雷(Nawng Len)村附近的某一园区内,由6栋建筑组成。根据热心民众提供的线索,当局于8月7日上午前往进行了突击检查。 在突击搜查行动中,共抓获156人,其中中国籍144人、老挝籍1人、缅甸籍11人。同时,还缴获了大量作案工具,包括658部手机、134台一体机电脑、28台笔记本电脑以及13台“星链”(Starlink)卫星互联网设备等。 相关部门表示,对被捕人员的审讯工作结束后将依法予以追责,缴获的物品也将按照相关程序进行后续处理。 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @…
#最新消息金边桑园区端华大学潮汕商会附近警方在一公寓楼里带走大量人员大部分都是小姐 Ps:扫黄行动 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
#群友,警察都拦不住,场面一度壮观。 PS:泰国乱不乱,中国人说了算🤣 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
#柬埔寨新闻 #柬埔寨新闻 柬埔寨红十字会向中国红十字会捐款10万美元,以支持因台风“红霞”引发严重洪涝灾害受灾社区的救援工作。 周四(8月6日),柬埔寨红十字会秘书长彭·占蒂妮(Pum Chantinie)在金边中国驻柬埔寨大使馆向中国驻柬埔寨大使王文斌递交了捐款及慰问信。 王文斌大使在社交媒体上发布的消息中,向柬埔寨红十字会主席文拉妮·洪森亲王(Samdech Kittipritthbindit Bun Rany Hun Sen)及柬埔寨红十字会表达了诚挚的谢意。 王文斌大使表示:“我们对文拉妮·洪森亲王和柬埔寨红十字会向中方捐款10万美元以帮助台风‘红霞’受灾群众表示衷心的感谢。” 他补充道:“守望相助是中柬两国长期以来的优良传统。我们愿意同柬方一道,发扬这一传统,携手克服未来的困难和挑战。” 在会面期间,王文斌大使还邀请柬埔寨红十字会派代表团正式访问中国红十字会,并向文拉妮·洪森亲王致以最美好的祝愿。 彭·…
#金三角特区万国楼下治安局抓人 网友反馈:金三角特区 万国楼下,有治安局上去抓人了,现场的警车前门一辆,后门一辆! 目前还在查监控,不知道是查毒还是有人举报打野办公!! 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
#突击检查越南胡志明 81楼LP10多个警察进去了!! 晚上市政府检查9郡整个区域!! 各位兄弟多注意!安全第一!! 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
#亚庇国际机场车辆失控撞入大厅 8月7日,马来西亚沙巴亚庇国际机场(Kota Kinabalu International Airport)发生一起车辆冲撞事故。一辆汽车疑似失控撞破机场大厅玻璃,冲入航站楼内部,现场一片混乱,并传出有人受伤。 事故发生后,机场工作人员及相关单位立即展开处置,警方已到场调查事故原因。目前,车辆为何失控冲入机场大厅、伤者情况以及是否涉及人为因素,仍等待官方进一步公布。 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
#芒果园区或被改造为全柬诈骗物证库 今天,实居省警方配合柬埔寨国家打击网络诈骗委员会工作组,前往位于基里隆县3号国道沿线的“金鸿园区”(原为芒果园区)进行实地检查。 该园区此前因涉嫌网络诈骗犯罪已被依法实施临时封禁。此次检查旨在筹备并修复该场所,将其改建为专门存放全国各地查获的网诈案涉案物证的标准技术保管库。 继续加工芒果不好吗? 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
#越南胡志明9郡打野 越南胡志明 9郡 SANH S1O 兄弟们注意呀 警察已经带了几波人下来 这个9郡打野的比较多 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
#反贪会预告提控至少100人涉“职业赋权计划2.0”虚假申报案扩大 8月7日,反贪会预计将提控至少100名涉嫌虚假申领“职业赋权计划2.0”拨款的人士,包括公司东主。截至目前已有29名嫌犯在多个州属被提控,其中13人于昨日在彭亨、吉打、吉兰丹及霹雳面控,其馀16人则于今日在霹雳、槟城、吉隆坡及沙巴被控。 反贪会表示,由于涉案人数众多,提控程序预计将耗时一段时间,所有调查文件均已提交副检察司审查以决定是否提控上庭。 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
#波贝抓捕117名外籍人员 今天,柬埔寨卜迭棉芷省警方派出两路联合执法组在波贝市清查11处窝点。 排查发现来自中国、印尼、尼泊尔及马来西亚共117名外籍人员。其中在波贝分区友谊村一处3层楼房内查获网诈窝点,现场扣押445部手机及5台笔记本电脑,抓获65名外籍人员(含中国籍60人)。 目前当局已临时封禁该网诈窝点,扣押涉案物证并移交省警局追查房屋业主,涉案人员已被分流押送作进一步调查处理。 波贝还是硬啊 还有这么成规模的产业 依然在坚守~~ 🔻关注东南亚局势 @jushi 🔻投稿爆料联系集团 @gaode 🔻高德博彩福利频道 @xidu 🎲高德极速骰子 @gdk3bot 🎰高德电子/捕鱼/视讯 @gbot 🏆高德德州俱乐部 @gdpokerbot 💰飞机钱包 @fjqb
Showing the 12 most recent of 26 posts we hold for @jushi. 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.
Citation-graph rank
Citation-graph rank — 108,061 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“🇰🇭东南亚局势 @jushi” (@jushi), 3,284 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/jushi.
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.