Telegram RegisterThe public register of Telegram

Channel

币圈新闻即时快讯🅥

@ppbbb

2 usernames

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

22,236subscribers

-97 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001668307169
TypeChannel
Usernames@ddbbb @ppbbb
Description币圈、虚拟币、财经、即时新闻
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held18
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/ppbbb

Growth

22,23622,33322,284.56 August 2026 — 22,333 subscribers6 August 2026 — 22,328 subscribers6 August 2026 — 22,328 subscribers7 August 2026 — 22,323 subscribers7 August 2026 — 22,325 subscribers8 August 2026 — 22,316 subscribers8 August 2026 — 22,306 subscribers9 August 2026 — 22,304 subscribers9 August 2026 — 22,283 subscribers10 August 2026 — 22,274 subscribers11 August 2026 — 22,278 subscribers11 August 2026 — 22,266 subscribers12 August 2026 — 22,266 subscribers12 August 2026 — 22,257 subscribers13 August 2026 — 22,243 subscribers13 August 2026 — 22,238 subscribers14 August 2026 — 22,237 subscribers15 August 2026 — 22,236 subscribers6 August 202615 August 2026
18 measurements spanning 8 days, net -97. 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 22,221–22,348 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:1822,236-1
14 Aug 2026, 14:3522,237-1
13 Aug 2026, 14:3622,238-5
13 Aug 2026, 05:3422,243-14
12 Aug 2026, 14:3322,257-9
12 Aug 2026, 04:0222,266no change
11 Aug 2026, 13:5222,266-12
11 Aug 2026, 02:0722,278+4
10 Aug 2026, 11:0322,274-9
9 Aug 2026, 23:3522,283-21
9 Aug 2026, 08:0522,304-2
8 Aug 2026, 21:0222,306-10
8 Aug 2026, 09:1122,316-9
7 Aug 2026, 21:3822,325+2
7 Aug 2026, 07:2222,323-5
6 Aug 2026, 22:0722,328no change
6 Aug 2026, 22:0122,328-5
6 Aug 2026, 12:4622,333first reading

Engagement

460 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 23 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.671%
avg views ÷ 22,236 subscribers
Avg views / post
149
460 posts measured
Reaction rate
0.289%
reactions ÷ views · ER floor
Posts in window
460
of 460 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 10 of 460 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 15 August 2026
Posts held460 (6 August 202615 August 2026)
Views total68,625
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 17:36 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
15,900
Links
226,000

Lifetime counters from Telegram’s own channel header, read 15 August 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.

Reaction mix

6 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
583.3%
💯116.7%

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 10 of the 460 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 460 most recent posts we hold, published 6 August 2026 to 15 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

15 Aug 2026, 17:22 UTC115 viewsread 15 August 2026

千问下载量突破30亿次,成为全球下载量最高的AI模型 金色财经报道,8月16日,据彭博社,阿里巴巴的千问下载量刚刚突破30亿次,超过Meta和谷歌,成为全球下载量最高的AI模型。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 16:55 UTC182 viewsread 15 August 2026

Unitree 上市在即 Hyperliquid 估值较 IPO 高 4 倍 金色财经报道,8 月 16 日,中国机器人制造商 Unitree Robotics 即将在科创板上市,IPO 定价为每股 150.80 元(约 22.37 美元),公司估值约 90 亿美元。然而,加密交易平台 Hyperliquid 上的预 IPO 永续合约价格达 92-94 美元,隐含估值约 380 亿美元,较发行价高出逾 4 倍。 Allium 分析指出,该溢价反映市场对 Unitree 的高预期,该公司去年营收 2.53 亿美元、同比增长 335%,人形机器人出货量超 5500 台。若上市开盘价偏离永续合约价格,杠杆头寸可能面临清算风险,分析师称开盘价若为 IPO 两倍仍可能导致约 33% 多头仓位被强平。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 16:27 UTC228 viewsread 15 August 2026

过去24小时全网爆仓7710万美元,多空双爆 金色财经报道,8月16日,据Coinglass数据显示,过去24小时全网爆仓7710万美元,其中多单爆仓4015万美元,空单爆仓3695万美元。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 16:07 UTC253 viewsread 15 August 2026

TG 会员新功能,助推频道! 关注、助推频道! 即时动态获取最新活动讯息! (TG需更新至最新版本才能使用!) https://t.me/ppbbb?boost

15 Aug 2026, 16:06 UTC236 viewsread 15 August 2026

瑞银大举增持比特币ETF期权,IBIT看涨头寸季度暴增24倍 币圈新闻: 8月15日消息,据CoinDesk报道,瑞士大型银行 UBS 在第二季度大幅提高对 BlackRock 旗下 iShares Bitcoin Trust(IBIT)的敞口,其持有的 IBIT 看涨期权名义头寸从80,000股增至约195万股,季度增幅逾24倍;同期直接持有的 IBIT 份额从364,371股增至407,890股,增幅约12%。与之相反,UBS 的 IBIT 看跌期权名义敞口从303,300股降至143,300股,降幅约53%。监管文件未披露期权行权价与到期日,也未说明是由客户交易需求、做市对冲、主动管理还是自营交易所驱动。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 16:00 UTC213 viewsread 15 August 2026

Coinbase推出AiFi体系,布局AI代理经济金融基础设施 金色财经报道,8月15日,Coinbase宣布全面布局“代理经济”,推出AiFi(AI金融)完整体系,面向AI代理用户、企业及开发者搭建金融基础设施。平台打造EverythingExchange万物交易平台,AI代理可自主完成资产研究、规划与交易,覆盖加密货币、股票、衍生品;同步上线内置AI投资顾问Coinbase Advisor辅助用户投资决策。企业端,Coinbase Business原生集成x402标准,支持接收AI代理的USDC支付,规避拒付风险,闲置USDC可享3.35%奖励,一站式完成资金管理、对账提现。开发者借助CDPx402SDK,仅需数行代码即可接入AI代理支付。 Coinbase表示,x402是机器间免人工交易的开放标准,经济正围绕AI代理重构。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 15:50 UTC229 viewsread 15 August 2026

BTC和ETH ETF上周净流入资金达11亿美元 金色财经报道,8月15日,DWFLabs分析称,加密货币ETF本周表现创下自4月以来最佳单周纪录。BTC和ETH ETF上周净流入资金达11亿美元,其中8.65亿美元流入BTC,2.43亿美元流入ETH。 这与7月份的低迷表现形成鲜明对比,7月份的净流入仅为5.2亿美元。此次净流入扭转了5月和6月期间80亿美元资金外流的部分颓势,这两个月是这两款产品推出以来表现最差的两个月。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 15:47 UTC237 viewsread 15 August 2026

加密市场近24小时爆仓额约7901万美元,ACE和AKE爆仓金额超BTC和ETH 币圈新闻: 8月15日消息,据CoinGlass数据显示,过去24小时全球加密合约市场爆仓总额约7901万美元,约6.75万名交易者被强平,其中多单约4144万美元、空单约3757万美元。Binance爆仓金额约3967万美元居首,其次为Bybit约1210万美元、OKX约1005万美元、Bitget约672万美元、Gate约574万美元。最大单笔爆仓发生在HTX ETH-USDT合约,金额约98.1万美元。 按币种看,24小时爆仓金额排在前面的确是 ACE(约906万美金)、AKE(约573万美金),其后才是 BTC(约511万)、ETH(约434万)、LINK 等。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 15:29 UTC278 views1 reactionsread 15 August 2026

Meme币“牛来”市值突破1400万美元,现报1445万美元 币圈新闻: 8月15日消息,GMGN数据显示,BSC链上Meme币“牛来”市值突破1400万美元,现报1445万美元。据悉,同名暑期档电影《牛来》此前因制作粗糙、票房低迷反向走红。 Meme 币价格波动较大,请投资者注意风险。 电影频道在线看 │ ChatGPT中文群🅥

1

15 Aug 2026, 15:22 UTC247 viewsread 15 August 2026

Robinhood Chain过去24小时DEX交易额超5.03亿美元 金色财经报道,8月15日,据 DefiLlama 数据,Robinhood Chain 过去 24 小时 DEX 交易额超 5.03 亿美元,仅少于 Solana、以太坊主网、BNB Chain 和 Base,位居全链第五。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 15:04 UTC258 viewsread 15 August 2026

Hyperliquid永续合约未平仓头寸市场份额回升至10% 8月15日消息,据hypeflows数据,按未平仓合约规模计算,Hyperliquid目前占据全球永续合约市场10%的份额(包含Binance、Bybit、OKX等所有中心化交易平台),略低于7月末创下的10.4%份额最高纪录。 电影频道在线看 │ ChatGPT中文群🅥

15 Aug 2026, 14:54 UTC247 viewsread 15 August 2026

以色列正试图操控人工智能关于加沙议题的输出内容 金色财经报道,8月15日,以色列已发起一场公关宣传活动,目的是引导ChatGPT等人工智能系统在回答有关以色列、加沙以及以色列国防军相关问题时的表述倾向。多家受以色列委托的公关公司成立了汉诺威公共政策研究所,该机构发布大量设问式报告,例如《以色列国防军是全球最讲道义的军队吗?》《加沙是否存在刻意制造饥荒的政策?》。这些文稿是以色列出资、总投入10万美元宣传项目的组成部分。相关测试显示,当用户提出中立问题时,ChatGPT与Perplexity人工智能模型会引用这家研究所发布的资料。以色列还资助了另一项总额4650万美元的舆论干预项目,该项目专门搭建各类网站、产出定制内容,以此干预“GPT模型的内容输出导向”。 电影频道在线看 │ ChatGPT中文群🅥

Showing the 12 most recent of 460 posts we hold for @ppbbb. 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 — 125,411 of 1,480,688entries 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 2 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.

Appears in Telegram’s recommendations for other channels

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.

海外素材库
@sucai1 · 108,575
Telegram ranks this channel #25 of 41 here — alongside 40 others — read 14 August 2026
☀️【佳佳】生活素材馆☀️
@sucai277 · 106,444
Telegram ranks this channel #29 of 35 here — alongside 34 others — read 15 August 2026
💯【佳佳】美食素材圈💯
@sucai177 · 104,488
Telegram ranks this channel #31 of 34 here — alongside 33 others — read 15 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“币圈新闻即时快讯🅥” (@ppbbb), 22,236 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/ppbbb.

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.