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Channel

PANews Web3丨加密货币丨区块链新闻频道

@ChannelPANews

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

24,639subscribers

-133 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-1001456088978
TypeChannel
Username@ChannelPANews
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/ChannelPANews

Growth

24,63924,77224,705.57 August 2026 — 24,772 subscribers7 August 2026 — 24,764 subscribers8 August 2026 — 24,736 subscribers9 August 2026 — 24,716 subscribers10 August 2026 — 24,701 subscribers11 August 2026 — 24,690 subscribers12 August 2026 — 24,683 subscribers14 August 2026 — 24,671 subscribers15 August 2026 — 24,648 subscribers17 August 2026 — 24,639 subscribers7 August 202617 August 2026
10 measurements spanning 10 days, net -133. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 24,619–24,792 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 10:0524,639-9
15 Aug 2026, 20:0824,648-23
14 Aug 2026, 09:5724,671-12
12 Aug 2026, 23:4724,683-7
11 Aug 2026, 20:2224,690-11
10 Aug 2026, 18:1724,701-15
9 Aug 2026, 16:3124,716-20
8 Aug 2026, 15:0724,736-28
7 Aug 2026, 12:1124,764-8
7 Aug 2026, 00:1524,772first reading

Engagement

435 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.751%
avg views ÷ 24,639 subscribers
Avg views / post
185
423 posts measured
Reaction rate
0.482%
reactions ÷ views · ER floor
Posts in window
435
of 435 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 35 of 423 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 16 August 2026
Posts held435 (6 August 202616 August 2026)
Views total78,283
Reactions total38
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 17:46 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.

Reaction mix

38 reactions across 30 posts, in 7 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1950.0%
🤡615.8%
👍513.2%
👎410.5%
🤣25.26%
🔥12.63%
🤩12.63%

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 35 of the 435 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 38reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 435 most recent posts we hold, published 6 August 2026 to 16 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.

Recent posts

16 Aug 2026, 15:48 UTC251 viewsread 16 August 2026

段永平1300亿元持仓曝光:加仓拼多多、减仓苹果、清仓台积电 PANews 8月16日消息,据红星新闻报道,近期,美股机构投资者二季度13F持仓披露,知名投资人段永平最新调仓路径随之揭晓。截至2026年二季度末,段永平管理的H&H International Investment共持有18家公司,持仓总市值为191.01亿美元,折合人民币1300亿元,较一季度末约200亿美元有所下降。 从具体持仓看,苹果、伯克希尔B股和拼多多位列前三大重仓股。其中,苹果持仓市值约78.4亿美元,占组合41.05%;伯克希尔B股持仓约46.2亿美元,占24.18%;拼多多持仓约19.1亿美元,占9.99%。和一季度末相比,段永平减持苹果184.69万股。此外二季度,段永平... (点击下方链接阅读全文) 🔗 https://www.panewslab.com/zh/articles/01a00b42-2dda-7736-9ace-a96a66

16 Aug 2026, 15:29 UTC277 viewsread 16 August 2026

分析:币安上UNI巨鲸提现量创五年新高,大型投资者正逢低布局 PANews 8月16日消息,CryptoQuant分析师Darkfost发文表示,尽管Uniswap原生代币UNI从2021年高点43美元下跌超93%至约3美元,但巨鲸积累力度却达到五年来最强。数据显示,币安上UNI流出量最大的前10笔交易日均流出7,300枚UNI,创五年新高;当前均值仍处高位,该交易群体每日仍积累5,600枚UNI。 Darkfost指出,尽管山寨币整体环境艰难,但一些代币仍在吸引关注,尤其是那些被巨鲸积极积累的标的。UNI的积累强度在当前下跌期间达到历史峰值,表明大型投资者正逢低布局。 🔗 https://www.panewslab.com/zh/articles/01a00b30-fa46-70cc-9bfc-961ee22bb7f2

16 Aug 2026, 15:25 UTC243 viewsread 16 August 2026

Tom Lee:不同AI领军者的核心差异化在于创始人愿景,同样看好Robinhood CEO PANews 8月16日消息,以太坊财库公司BitMine董事长Tom Lee在访谈中表示表示,Sam Altman创立并带领OpenAI走向成功靠的是个人愿景,而非向ChatGPT寻求决策建议。OpenAI、Anthropic及Elon Musk等AI领军者的核心差异化在于创始人愿景。Lee表示其同样看好Robinhood CEO Vlad Tenev,认为其正领导一个增速远超整体经济的市场,这也是Fundstrat持有Robinhood股票的重要原因,因其在Granny Shots和Granny Smid策略中集中押注该股。 🔗 https://www.panewslab.com/zh/articles/01a00b2d-2790-70b7-a7aa-9866cd3bb343

16 Aug 2026, 15:20 UTC240 viewsread 16 August 2026

瑞银Q2大幅加仓比特币敞口,相关ETF看涨期权持仓激增24倍 PANews 8月16日消息,据CoinDesk报道,瑞士银行巨头瑞银(UBS)在二季度将其持有的贝莱德比特币现货ETF(IBIT)看涨期权敞口从一季度的8万份增加至195万份,增幅超24倍;直接持有IBIT份额增加约12%至407,890份,价值约1360万美元;看跌期权敞口下降约53%至143,300份。UBS管理资产规模超7万亿美元,此前已于今年初开始为瑞士私人银行客户准备比特币和以太坊交易服务,但监管文件未明确此次期权增持是否与客户业务相关。 🔗 https://www.panewslab.com/zh/articles/01a00b28-7ce9-75e5-a809-a6c8563ef691

16 Aug 2026, 14:47 UTC288 viewsread 16 August 2026

赵长鹏:为避免被过度解读将弃用公开地址,BNB及“币安人生”捐给Giggle Academy PANews 8月16日消息,币安创始人赵长鹏针对“销毁Meme币”一事回应称:“太多人试图过度解读‘他这么做代表什么?’我今天测试Trust Wallet。发现钱包里太多meme coin,多到连BNB都很难找到,所以我尝试销毁一些代币。结果连这个操作都引发了不少社区讨论。我意识到,我永远无法把这个地址上的meme币‘清理干净’。我销毁得越多,就会有越多人往这个地址打币。区块链的透明特性意味着,这个地址的任何操作都会被社区过度解读。 我甚至想过请Trust Wallet团队做一个‘忽略代币’(Ignore Coin)的功能,避免界面被塞满,但这个功能99.99%的人根本用不上。所以计划如下:... (点击下方链接阅读全文) 🔗 https://www.panewslab.com/zh/articles/01a00b0a-0d27-

16 Aug 2026, 14:35 UTC279 viewsread 16 August 2026

SafePal被质疑隐瞒漏洞数月且有用户已遭钓鱼攻击 PANews 8月16日消息,针对SafePal今日披露的数据泄露事件,链上分析师Specter对此提出质疑,指出泄露数据覆盖2025年3月2日至2026年4月11日期间,意味着漏洞最迟在4月或5月初已经发生,但SafePal选择保持沉默直至近期Trezor也宣布数据泄露后才公开。Specter称部分用户在SafePal承认前已收到钓鱼邮件且有人已遭损失,但公司未提前发出警告、否认问题,将客户个人数据置于风险中。 🔗 https://www.panewslab.com/zh/articles/01a00aff-9853-76ac-8001-87d6855c2f39

16 Aug 2026, 14:31 UTC260 viewsread 16 August 2026

Vitalik:以太坊扩容将融合UTXO式状态与动态状态方案,兼顾去中心化与高吞吐量 PANews 8月16日消息,以太坊创始人Vitalik Buterin在X平台发文,肯定比特币社区在UTXO状态管理理念上的开创性贡献(如Utreexo),并阐述了以太坊当前提议的扩容战略:旨在融合UTXO式状态管理、动态状态及介于两者之间的各类方案,使以太坊绝大多数活动能够实现超大规模扩容,同时不牺牲去中心化、节点运行便捷性和抗审查性。 🔗 https://www.panewslab.com/zh/articles/01a00afb-5df4-774e-a143-89981e67b9d6

16 Aug 2026, 14:03 UTC263 viewsread 16 August 2026

欧盟MiCA的合规清理工作引发当地新一波诈骗潮 PANews 8月16日消息,据CoinDesk报道,欧盟MiCA法规于7月1日全面生效后,超过1700家无牌加密平台被要求停止服务并引导用户转向持牌平台,仅有323家公司持有有效授权。约1000万用户被迫迁移资产,诈骗者借此冒充监管机构和持牌交易所发送虚假迁移通知,诱导用户将资产转入伪造平台。 法国金融市场管理局(AMF)称诈骗者伪装成其员工以收取“管理费”为名骗取资金,欧洲证券及市场管理局(ESMA)确认身份和标识被滥用。荷兰金融市场管理局(AFM)警告称无牌交易所迁移本身已成攻击面,建议用户通过ESMA官方注册表核实服务商,对主动联系要求转账的行为保持警惕。英国金融行为监管局(FCA)披... (点击下方链接阅读全文) 🔗 https://www.panewslab.com/zh/articles/01a00ae2-8073-76ec-921e-3e5e4ec9b6b1

16 Aug 2026, 13:20 UTC281 viewsread 16 August 2026

MarsCoin一早期卖家错失17万美元利润后追涨,尚未回本 PANews 8月16日消息,据链上分析师Ai姨监测,地址0x333…29cd2在MarsCoin暴涨前两天以0.00006885美元清仓512万枚代币,亏损4533美元,现价下该部分价值17.1万美元。其在55分钟前追涨2308美元的的代币,虽浮盈但整体尚未回本。 🔗 https://www.panewslab.com/zh/articles/01a00abb-0794-7462-a16d-a6bd5b55ba3b

16 Aug 2026, 13:18 UTC268 viewsread 16 August 2026

SafePal:订单追踪插件漏洞致近4万客户信息泄露,钱包资产未受影响 PANews 8月16日消息,加密钱包SafePal披露其发现其订单追踪插件存在漏洞,导致约39,798名在2025年3月2日至2026年4月11日期间下单的客户信息被未经授权访问,暴露数据包括姓名、邮箱、收货地址、电话及购买详情。官方强调种子短语、私钥、钱包密码及银行账户等敏感信息未受影响,漏洞已修复并增设安全措施。所有受影响客户已通过邮件单独通知,用户可凭订单号和收货国家在官网验证是否受影响。SafePal提醒用户警惕钓鱼和冒充攻击,切勿向任何人透露助记词或私钥。 🔗 https://www.panewslab.com/zh/articles/01a00ab9-6a48-7072-83a3-eee057546eb3

16 Aug 2026, 13:16 UTC249 views1 reactionsread 16 August 2026

苹果紧急修复macOS屏幕共享漏洞,暴露Mac已被用于加密货币挖矿 PANews 8月16日消息,据The Hacker News报道,荷兰国家网络安全中心(NCSC)警告称,苹果macOS屏幕共享组件中一个近期修复的严重认证漏洞(CVE-2026-65400,CVSS评分9.8)已被野外利用,攻击者无需有效凭证即可访问暴露于互联网(端口5900)的Mac并植入门罗币挖矿程序。苹果已于8月6日随macOS Tahoe 26.6.1、Sequoia 15.7.9及Sonoma 14.8.9紧急更新修复该漏洞,通过改进状态管理强化凭证验证。NCSC确认多起攻击中攻击者已获取root权限并部署挖矿软件。 安全研究员@osxreverser披露了同一组件中另一个预认证... (点击下方链接阅读全文) 🔗 https://www.panewslab.com/zh/articles/01a00ab6-ca93-701f-93b3-648

👎1

16 Aug 2026, 13:09 UTC235 viewsread 16 August 2026

DefiLlama创始人:因苹果商店存在钓鱼应用,延迟移动端上线 PANews 8月16日消息,据Cointelegraph报道,DeFiLlama匿名创始人0xngmi透露,因苹果App Store上长期存在冒充该平台的钓鱼应用,公司推迟了官方移动应用的发布。团队花费数月向苹果举报恶意应用未果,直至下载该应用并记录其从小型加密钱包盗取资金的全过程后,苹果才在“数日内”将其下架。0xngmi表示团队等到所有假冒应用被清除后才发布官方应用,以避免用户受骗。此前App Store曾出现冒充Rabby钱包和Curve Finance的虚假应用,2023年11月微软商店上一款假冒Ledger Live应用曾导致38笔交易共计58.8万美元被盗。 🔗 https://www.panewslab.com/zh/articles/01a00ab1-5133-741a-a816-876c3c9024e6

Showing the 12 most recent of 435 posts we hold for @ChannelPANews. 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 — 83,151 of 1,481,502entries 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.

Forward network

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

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“PANews Web3丨加密货币丨区块链新闻频道” (@ChannelPANews), 24,639 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/ChannelPANews.

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.