Channel
@wuyoudaohang
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
67,625subscribers
-1,070 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003778065100 |
|---|---|
| Type | Channel |
| Username | @wuyoudaohang |
| Created | Between 1 February 2026 and 15 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/wuyoudaohang |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 07:53 | 67,625 | -247 |
| 14 Aug 2026, 17:06 | 67,872 | -127 |
| 13 Aug 2026, 05:58 | 67,999 | -104 |
| 12 Aug 2026, 05:12 | 68,103 | -122 |
| 11 Aug 2026, 06:21 | 68,225 | -119 |
| 10 Aug 2026, 07:26 | 68,344 | -111 |
| 9 Aug 2026, 08:51 | 68,455 | -173 |
| 8 Aug 2026, 06:50 | 68,628 | -67 |
| 7 Aug 2026, 15:01 | 68,695 | first reading |
20 posts held, back to 15 March 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 22 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 31 March 2026. An engagement rate over an empty window would be a number about nothing.
78 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 82.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 64 | 82.1% | |
| 🥰 | 8 | 10.3% | |
| 👍 | 3 | 3.85% | |
| 👏 | 3 | 3.85% |
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 11 of the 20 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 78reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 15 March 2026 to 31 March 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.
🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 Telegram 中文社群： @tgcn2026 无忧灰产项目赚钱交流群： @xiangmu10086 贵神暗网 项目灰产交流群： @gs_hcq 亚太项目交流群·狗推精英： @goutui025 小白灰产体育项目交流群： @ruixin199 灰产跑分卡商车队交流群： @chedui01 盘口灰产项目出海资源交流群： @kashang0K 暗网跑分赚钱灰产项目交流群： @paofenXM 贷款/金融/劳务/背债/金融交流群： @daikuanXM LSP群众吃瓜俱乐部： @shutiaoTV 柬埔寨中国人聊天群： @ktrle 迪拜今日头条交流群： @dibai707 斯里兰卡（狗推大队）： @SLLK077 东南亚华人吃瓜社群： @huarenchigua2 臺灣移民生活交流群： @chuangye01 澳門同城娛樂交流群： @PG77778 香港資源同城交友之家： @douyu01 世界杯东南亚博彩…
❤41🥰8
置顶查看反诈宣传/骗局揭秘导航 1：假担保套路揭秘 2：无押金做单套路揭秘 3：小额洗资|出售黑U套路揭秘 4：伪基站|针孔摄像头套路揭秘 5：闲鱼洗货|回收加油卡充值卡骗局 6：微信游戏漏洞薅羊毛骗局 7：淘宝租号骗局 8：出售假钞骗局 9：现金收U骗局 10：攻击非法网站月入百万骗局 11：TG数据造假骗局 12：盗U骗术揭秘 13：卖家快递发货，异地冒充买家取件骗术揭秘 14：黑客&机房一条龙杀猪骗局 15：微信代收骗局 16：假担保冒牌担保汇总 17：NFT用户名交易防骗必看 18：分享助记词诈骗TRX套路揭秘 19：淘宝购买卡密做单骗局 20：低价能量闪租套路揭秘 21：信用盘改赢、稳赚骗局揭秘 22：揭秘whatsapp加人网赚骗局 23：2345看图王 远控木马盗U
❤11👍3👏3
📗TG百科问答📗 必看百科教程 ⚡️ TG第三方客户端大全 ⚡️ 电报常用机器人合集 ⚡️ 电报用户名拍卖|上链|使用教程 ⚡️ 解除iOS敏感色情内容限制 ⚡️ 电报中文语言包 ⚡️ 国内IOS如何下载虚拟币钱包以及钱包推荐 基础知识解答 🟢 官方封禁的账号会受到什么处罚 🟢 账号被无故封禁的申诉解决方案 🟢 如何解决被别人强制拉进陌生群组 🟢 如何注销 Telegram 账号 🟢 Telegram安全守则 🟢 TG电脑多开方法 🟢 如何设置2步验证？ 🟢 个人账号解除双向聊天限制 🟢 关于 Telegram 缓存和自动下载的说明 🟢 已知的 Telegram 的限制 🟢 如何创建分组文件夹并分享
❤4
#骗局揭秘⚡️⚡️#曝光 #2345看图王 远控木马盗U 这个2345做图，很早之前就听说是远控软件，就是下载了他的做图软件，你的电脑就会被控制。他找我上了广告付了400U，我说等我找人检测完他的软件就给他上，或者给他退，他现在着急了，说我骗他，我主要不想转给他的原因是，如果他真的是骗子，那么我这个做图软件广告发出去多少狗推兄弟电脑要中毒，要被这些恶心人黑飞机号。 ps 之前迪拜一个公司全部用了2345做图，公司全部人员资料被泄露， 所以看到这个信息，我很谨慎，如果检测出确实是病毒， 收的400U广告费定金 全部群里发福利
❤3
#曝光 #whatsapp 网赚骗局 各位兄弟姐妹⚠️注意了‼️打着天宝出海做任务的骗子，骗子先会说介绍做什么美国盘，第一步会让你准备一个手机，要你准备一个Whatsapp， 必须要准备一个一年的美国Whatsapp，公司会报销，你肯定没有，不过没有关系，骗子会给你介绍卖家，当你买了这个聊天软件之后骗子那边会跟你聊很多，注意这个就是骗子的套路……，说的花里胡哨的，反正就是很简单一天给你50条数据，给他加人，加完50条数据做完任务保底300RMB，做得好就是750RMB左右，这个是第一步，你买了软件之后肯定登录不了，就会问你你有没有跳IP到美国，套路2来了，你肯定没有美国的IP，也要买，RMB400多12个月，骗子会说送你3个月，到了这一步你想赚一点外快，没有办法肯定还是想把这个事情做一做，毕竟对一名在国内的打工人还是有一点诱惑的，想一想毕竟每天都可以赚一点外快，花这一点钱任务做完就会回来，也无所谓了，继续买骗子的美国ip，当你…
❤2
➖信用盘改赢、稳赚骗局揭秘 极速飞艇，138、168网赌。有些人自称是做对刷的，他们说自己在直通盘上对几个号码下重注控制这些号码不会开，然后教我们在私盘、信用盘上下注相反的号码，赚私盘庄家的钱。还自称10把里面可以过9把，盈利抽4成。他会给你两种方式选择，一种是他开语音教你下，一种是把网址、账号、密码给他，他帮忙操作。两种方式都尝试过了，假的，这些人应该就是空手套白狼，玩赢了就和你分账，输了就清空聊天记录，拉黑跑路。纯粹的损人不利己，损失8000亲测。
⏺️低价能量闪租套路揭秘 为什么有大量低于1TRX的闪租地址？ 最近，无论是微信，土豆，蝙蝠，甚至是飞机各大群里，有大量的0.1TRX-1TRX一笔的闪租地址刷屏炸广告，为什么这些闪租地址可以低于成本价格销售，目前正常的32K能量供货价成本就在1.3-1.5TRX，这些零售闪租地址为何亏钱销售？经过这几天的研究摸底发现，这是市面一个同行能量池闪租所推出的钓鱼方案，这些0.1-1TRX的闪租地址，大家看到之后，可以在【波场链官网】查询他们的销量，以及重点查询他们的USDT收款，因为这些地址在炸广告时用的都是小号，很多用户因为便宜使用这个闪租地址，不小心失误转错，就会转U到闪租地址，结果无法找到闪租地址的地址持有人进行索赔。这就是【钓鱼闪租地址】最核心的赢利点。新老代理看到后可以经过区块链查询分析跟踪，即可看到钓鱼地址收到用户转错的USDT有多少。 经过摸底追踪，发现有些钓鱼地址，月收入高达几万USDT，案例地址：TGrknt…
⏺️淘宝购买卡密做单骗局 在某供需里看到这个单，进群后加了这个人接单。他让我在淘宝上下单京东卡然后退款，做单时让我截图这个界面发给他，然后他把卡密使用了，根本无法退款！
❤1
⏺️分享助记词诈骗TRX套路揭秘 骗子用一个多签的钱包地址进行广撒网钓鱼，被骗的人登录钱包后，看到里面有USDT余额，但是没有trx，就转进去一些TRX准备转走里面的USDT，由于钱包是多签的，转账也转不出去，骗子就得手了，由于金额一般不大， 很少有人去曝光，不过“薄利多销”，骗子每天利润可能达到数千甚至数万TRX，有必要曝光一下，大家别贪小便宜。
😀NFT用户名交易防骗必看 近日，由于Ton价格飞涨，针对用户名交易市场的诈骗开始流行。 各种仿冒平台不断出现 如 fragment.net fragment.me fragnemt.com 等等 以及虚假的NFT用户名，和假U一样可通过钱包发送以及正常显示（同时提防用假U付款后骗取你的用户名）。 ‼️如果你正在和别人进行用户名交易，请在收到用户名后，手动输入网址 fragment.com 在顶部输入你收到的用户名 核对用户名归属地址是否是你的。确定收到后方可付款。
为了广大群友的资金安全，特在此搜集全网所有假压担保，此帖保持更新！欢迎投稿 @yushuxin7 ☣️假担保列表： 1️⃣鼎亿担保 @dydb @hemp @o000 @qiqi @rnmb @cnmb @wcnm 2️⃣假汇旺 @dbdb @hwgf @hwpd @hwxq @guanshi 3️⃣币旺担保主要id @mmwww @momoo @opppo @ooppo 4️⃣比特担保主要id @item @null @post (租的) 5️⃣假冒聚宝盆 @ijeep @IjDlD @IjPIP @zujin 6️⃣新亿担保 @menu @rbot (租的) 7️⃣假冒币安担保 @http (租的) 8️⃣得来担保 @ping (租的) 9️⃣磐石担保 @psdb1 @ps_db 1️⃣0️⃣非凡担保 @wild @post @cost @song (租的) 1️⃣1️⃣兴财担保 @view 1️⃣2️…
💩微信代收骗局 诈骗流程：骗子宣称不需要你的支付密码，不需要任何你的个人资料，不会有任何资金损失，让你放下防备。但是需要登录你的私人实名绑卡的微信搭建支付通道，当你把微信给对方登录之后，对方开始诈骗你的微信好友，如果诈骗方以你的身份对你亲人说自己出车祸急需几万，很容易得手。 诈骗手段很低级，不是穷到失去理智怎么会把私人微信给别人登录呢？
Showing the 12 most recent of 20 posts we hold for @wuyoudaohang. 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 — 134,553 of 1,481,217entries 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 9 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.
@wuyoudaohang named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“飞机中文导航 电报新手频道” (@wuyoudaohang), 67,625 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/wuyoudaohang.
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.