Channel
@xpppp
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
305,392subscribers
-21,030 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001666748716 |
|---|---|
| Type | Channel |
| Usernames | @haiwaixinwen @xpppp |
| Created | Between 1 January 2022 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/xpppp |
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 67% 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 |
|---|---|---|
| 12 Aug 2026, 17:13 | 305,392 | -442 |
| 12 Aug 2026, 10:02 | 305,834 | -3,650 |
| 12 Aug 2026, 01:42 | 309,484 | -13,631 |
| 11 Aug 2026, 02:56 | 323,115 | +1,448 |
| 10 Aug 2026, 00:01 | 321,667 | -5,461 |
| 8 Aug 2026, 20:56 | 327,128 | +82 |
| 7 Aug 2026, 22:52 | 327,046 | +425 |
| 7 Aug 2026, 00:23 | 326,621 | +199 |
| 6 Aug 2026, 22:02 | 326,422 | first reading |
166 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 17 pagesof 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 146 of 166 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 166 (6 August 2026 – 12 August 2026) |
| Views total | 2,812,210 |
| Reactions total | 11,012 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 10:02 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.
Measured directly from 15 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.
11,012 reactions across 142 posts, in 14 distinct kinds. The most used accounts for 11.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 1,285 | 11.7% | |
| 🤩 | 1,260 | 11.4% | |
| 👍 | 1,225 | 11.1% | |
| ❤ | 1,222 | 11.1% | |
| 😍 | 1,220 | 11.1% | |
| 🔥 | 1,210 | 11.0% | |
| 🎉 | 1,195 | 10.9% | |
| 💯 | 1,188 | 10.8% | |
| ❤🔥 | 1,166 | 10.6% | |
| 😁 | 15 | 0.136% | |
| ⚡ | 13 | 0.118% | |
| 👏 | 11 | 0.1% | |
| 👌 | 1 | 0.009% | |
| 💩 | 1 | 0.009% |
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 146 of the 166 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 11,012reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 166 most recent posts we hold, published 6 August 2026 to 12 August 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.
#群友投稿 曝光一下 TG上面电诈团伙很疯狂，商家和假担保一起诈骗用户，防不胜防😳 【火币担保】 【619天佑集团充电宝地推项目】 项目做之前说好押金70U或500人民币就可以发货，交完押金后发出新规则，需要继续缴纳一笔保证金。这些诈骗团伙惯用的伎俩，用在所有项目上面，所有需要先缴纳押金。后续还要找各种理由缴纳保证金的统统都是出自同一个诈骗团伙，请所有人注意🙏 以下是诈骗团伙聊天记录:（如图） 火币担保和商家是同一个诈骗团伙，该团伙应该在柬埔寨、斯里兰卡或马达加斯加、如果有人知道真实信息，可以提供给我。再送1000U悬赏这个诈骗团伙办公地点。 📥关注东南亚曝光：@XPPPP 📤投稿请联系 ： @FFFTG
🤩1
#最新消息 热搜女孩祁萌落地曼谷后失联（目前人已安全到达国内） 📥关注东南亚曝光：@XPPPP 📤投稿请联系 ： @FFFTG
🤩1
此人名叫阿浩，阿浩我还在继续找你，你他妈的卷这么多人钱跑路，西港你是别想待了，操你妈的全家不得好死，老子逮到你，你会知道的 📥关注东南亚曝光：@XPPPP 📤投稿请联系 ： @FFFTG
#曝光 #军包 #网友投稿 此人是江西景德镇 之前在木牌恒河园区做组长外号（阿七）做军包骗了一个北京老师六百万，在公司里面飞单二百多万，6月已经回到中国，现在只是曝光你抖音和支付宝，过两天再不联系，后续曝光你的视频还有相片，真实姓名，家庭住址 📥关注东南亚曝光：@XPPPP 📤投稿请联系 ： @FFFTG
🤩2❤1
#缅甸KK园区再曝强迫电诈 #超200名孟加拉人 疑被困，每天被迫工作18小时🚨🚨🚨 孟加拉国媒体近日披露，一批孟加拉人疑似被虚假高薪工作骗到东南亚，随后遭转卖至缅甸妙瓦底一带的电诈园区，其中包括臭名昭著的KK园区。目前，疑似仍有超过200名孟加拉籍人员被困。 调查称，受害者通常先被中介以“高薪电脑工作”等名义招募，抵达老挝等地后护照遭控制，随后被转卖至缅甸。他们被迫从事“杀猪盘”、虚假投资和加密货币诈骗等活动。 一名孟加拉男子Amzad Hossain就是其中一员。他原本计划前往老挝当电脑操作员，却在抵达后发现自己被转卖。之后，他被迫冒充女性与男性聊天，并诱导对方投资。拒绝诈骗时，他遭到殴打等惩罚，随后又被转移至缅甸。 逃离者称，部分园区人员每天被迫工作15至18小时，手机使用时间也受到严格限制。拒绝工作或试图逃跑者，可能遭遇殴打、电击、断食和关押等惩罚，想要离开还可能被要求支付高额赎金。 Amzad曾与约25至3…
❤1🔥1
#网友爆光 这个买人狗，此人在亚太做人事招聘。我介绍一个朋友进去上班，上班十天受不了体罚和高压，提出辞职 对方公司提出了高额的赔付，6060U+69600人民币的赔付，零赔付进去。希望大家记注这个狗人事， xz168168 awei168168111 之前在亚太村外，现在人员又被买到 #将军山 去 📥关注东南亚曝光：@XPPPP 📤投稿请联系 ： @FFFTG
❤1🥰1
#群友曝光 诈骗惯犯 #张金强 曾经叫过：秀 社长 黄毛 木子 十八 天海集团 灰太狼 贵州人，1996年生，现年29岁，身高约160cm，染黄发、四眼。 名字: 张金强 出生: 贵州省黔东南苗族侗族自治州从江县 性别: 男 生日: 1996-08-21 年龄: 30岁 户籍: 贵州省从江县丙妹镇三角井路49号附2号 此人多次诈骗身边朋友同事，到处借钱去赌博，更换完招聘部门公司没有干多久，上月六月份失联拉黑我，换公司了吗飞机昵称名字叫天海集团灰太狼招聘？ 他上年进入鸭脖招聘总部的时候，是各种求人才被领导收留了，好景不长，是赌博吸毒被开除还是捞外快诈骗？ 近日在泰国有人见到他，还在鸭脖，你是持了两份工作吗？收留你的鸭脖老板不去核实，难道要叫他继续用欺骗手段干两份工吗？ 📥关注东南亚曝光：@XPPPP 📤投稿请联系 ： @FFFTG
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#网友爆料：高脚苏总 福建安溪人，安排路线让我从国内到柬埔寨绿巨人园区，他朋友的公司做精聊，在国内我就说了不做精聊，多次叫我出国，用高薪骗我出国！ 到绿巨人园区后！做了一个月！我说我不做想回国！想要回国问我要高额赔付，没办法，后面安稳在绿巨人做了七个月之后，公司说要搬去七星海！ 我没去，两个月工资没发，高脚让我去去中国城金水园区9栋3楼333办公室做法国刷单，说工资补给我！后面在中国城做了一个月，我说工资不要了！我要回国！然后联合主管阿木一起给我算1.6万赔付，我当时威胁他！我说要钱没有，我报警，他说报警也没用，给钱才能解决问题，后面找我朋友给了他1万u，才放我出园区 和我从国内出来的兄弟一直跟着她做，我没要他的代理费，也没有要他的介绍费，我兄弟幸幸苦苦和他干了一年多，后面他们公司搬去波呗，我兄弟一直跟着，结果波呗大检查，公司解散，不管我兄弟死活，也不安排我兄弟回国，现在高脚已经回国，压根不管下面人死活。 我现在只想要回…
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#网友曝光 #高脚（#苏总）#福建安溪人，安排路线让我从国内到 #柬埔寨 #绿巨人园区 他朋友的公司做精聊，在国内我就说了不做精聊，多次叫我出国，用高薪骗我出国！ 到绿巨人园区后！做了一个月！我说我不做想回国！想要问我要高额赔付，没办法，后面安稳在绿巨人做了七个月之后公司说要搬去七星海！我没去，两个月工资没发，高脚让我去去中国城金水园区9栋3楼333办公室做法国刷单，说工资补给我！ 后面在中国城做了一个月，我说工资不要了！我要回国！然后联合主管阿木一起给我算1.6万赔付，我当时威胁他！我说要钱没有，我报警，他说报警也没用，给钱才能解决问题，后面找我朋友给了他1万u，才放我出园区，和我从国内出来的兄弟一直跟着她做，我没要他的代理费，也没有要他的介绍费，我兄弟幸幸苦苦和他干了一年多 后面他们公司搬去波呗，我兄弟一直跟着，结果波呗大检查，公司解散，不管我兄弟死活，也不安排我兄弟回国，现在高脚已经回国，压根不管下面人死活，我现在只…
❤14👍14🎉13😍13💯12🥰11🔥9🤩9
🥳🥳🥳🥳🥳🥳🥳🥳 【商户福利开放】 商户开户可享 🌟 费率 2⃣【会员十大福利大赠送】 😃 每日签到 天天红包雨 😃 新人大礼包 邀请好友 😃 幸运大转盘 提现笔笔赠送 😃vip等级活动 购买人民币赠送 😃 绑定数字账号赠送 购买活动单奖励 🥳🥳🥳🥳🥳🥳🥳🥳 充值提现：7 x 24H秒到账 充提限额：100 - 1000000 😀😀： 😀 😃 😃 😀 😃 ❤ 官方直营·核心产品优势 合规避风控｜实时资金安全稳定 内嵌充值模式｜提高充值转化率 AI智能订单撮合｜智能存提系统 商户费率优势｜提升整体利润空间 🥳🥳🥳🥳🥳 本平台仅对接 纯信誉盘口业务：彩票、棋牌、体育等信誉盘项目。 ‼郑重声明：平台对杀诈资金实行零容忍政策，一经发现将立即冻结账户并终止合作！ 😪🤗😬😈🤧2⃣😮 🌟💖💖💖💖💖💖💖💖 🥳🥳🥳🥳🥳🥳🥳🥳🥳🥳
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我要曝光我的前男友，我是在柬埔寨蒙多基里园区做扶手的，在包厢认识一个做资金盘的代理叫宇白，第一次点我就约我去酒店开房，我没去，后面就要包养我一个月给我1万美金叫我不要上班，我那个时候还有男朋友，我男朋友也是跟他一个公司都是在大老板冬天下面做代理的，他让我分手，我考虑了很久再加上我男朋友爱赌，就分手了跟宇白在一起，刚在一起一个月的时候我下面就很痒，我刚开始以为是熬夜上火，去打了几天消毒水就好了，这样反复几个月，后面医生感觉不对让我去大医院做检查，医生问我有没有男朋友我说有，他支支吾吾不说话，我瞬间明白了，我回家就去问宇白是不是有病，他开始不承认把我骗到老挝，后面控制我承认自己有艾滋病，当时我下面红肿，他让我先回国看，到时候给我钱治病，前面一直有给，后面直接不理我，在东南亚做扶手的姐妹一定要看清这个人，做资金盘诈骗中国人一波赚了几千万，姐妹们别被他的糖衣炮弹伤害 📥关注东南亚曝光：@XPPPP 📤投稿请联系 ： @FFFTG
❤2👍1👏1
#网友爆料 #啊峰 #福建龙岩连城人 #大年三十没钱要去玩包厢 叫我先买单初六就给 包厢买单差不多一万U，一直拖，一个月推一个月，后面我看这么拖不想给，我就说给一半，包厢我也去了我认一半，主要钱还是下面员工的工资 拖到现在还是天天借口一大堆，一下那边公司不结账，一下对接老板被抓了，发地址都发了多少次了，把我当猴耍啊，现在人在缅甸佤邦，我相信很多人都认识这个人吧，让大家看看这副嘴脸，这次只是曝光聊天记录，下次就是带上你身份信息了。 📥关注东南亚曝光：@XPPPP 📤投稿请联系 ： @FFFTG
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Showing the 12 most recent of 166 posts we hold for @xpppp. 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 — 449,592 of 1,084,084entries 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.
Named by 1 registered channel — 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.
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“东南亚曝光（吃瓜）群|@XPPPP” (@xpppp), 305,392 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/xpppp.
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.