Telegram RegisterThe public register of Telegram

Channel

币圈新闻|即时快讯

@dnybtc

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry

3,783subscribers

-20 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003721556866
TypeChannel
Username@dnybtc
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/dnybtc

Topic

Other / unclassifiable — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 59% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 3 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dnybtc/11465 · this entry6 Aug 2026, 17:36 UTC@niuniubtc/112786 Aug 2026, 17:36 UTC1.00under a minute
@dnybtc/11467 · this entry6 Aug 2026, 17:54 UTC@niuniubtc/112806 Aug 2026, 17:54 UTC1.00under a minute
@dnybtc/11471 · this entry6 Aug 2026, 18:57 UTC@niuniubtc/112846 Aug 2026, 18:57 UTC1.00under a minute
@dnybtc/11724 · this entry7 Aug 2026, 13:07 UTC@niuniubtc/115277 Aug 2026, 13:07 UTC1.00under a minute
@dnybtc/11727 · this entry7 Aug 2026, 13:15 UTC@niuniubtc/115307 Aug 2026, 13:15 UTC1.00under a minute
@dnybtc/11728 · this entry7 Aug 2026, 13:23 UTC@niuniubtc/115317 Aug 2026, 13:23 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@niuniubtc38 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (380)
@bipan5 (5/5 hand-verifiable sample passed)0.96under a minutethis entry (50)
@jinseBTC5 (5/5 hand-verifiable sample passed)0.97under a minute@jinseBTC (50)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 48 comparable posts for this entry, running 6 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 4, the earliest publisher we hold is @dnybtc — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

3,7833,8033,7936 August 2026 — 3,803 subscribers7 August 2026 — 3,800 subscribers10 August 2026 — 3,783 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net -20. 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 3,780–3,806 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 19:183,783-17
7 Aug 2026, 08:443,800-3
6 Aug 2026, 19:463,803first reading

Engagement

80 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 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.039%
avg views ÷ 3,783 subscribers
Avg views / post
1.5
80 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
80
of 80 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held80 (6 August 20268 August 2026)
Views total119
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:12 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.

Recent posts

8 Aug 2026, 06:03 UTC1 viewsread 8 August 2026
Photo

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8 Aug 2026, 05:43 UTC1 viewsread 8 August 2026

X平台推出原创内容奖励计划,9月起取代原收入分成机制 【X平台推出原创内容奖励计划,9月起取代原收入分成机制】金色财经报道,8 月 8 日,X(原 Twitter)宣布推出「原创内容奖励计划」,旨在奖励能够提供原创观点、专业分析、新闻报道、创意内容及评论的创作者。 X 表示,自即日起将停止接受新的收入分成计划(Revenue Sharing)申请。现有收入分成用户可继续获得收益至 2026 年 9 月 7 日,并将在 8 月 14 日、8 月 28 日以及 9 月 11 日前后收到最后三次付款。 从 9 月 8 日起,符合条件的现有创作者可申请加入新的原创内容奖励计划。新计划将根据原创内容产生的「有效曝光」(来自 X Premium 用户首页信息流、帖子至少 50% 可见)进行收益分配,首笔新计划付款预计于 8 月 28 日发放。 申请资格包括:年满 18 岁、账号状态良好、订阅 X Premium 或 Premium+、拥有

8 Aug 2026, 05:27 UTC1 viewsread 8 August 2026

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8 Aug 2026, 05:27 UTC1 viewsread 8 August 2026

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8 Aug 2026, 05:21 UTC1 viewsread 8 August 2026

XRP Ledger拟推出隐私转账功能,瞄准超5.3亿美元机构级代币化资产市场 【XRP Ledger拟推出隐私转账功能,瞄准超5.3亿美元机构级代币化资产市场】8 月 8 日消息,XRP Ledger(XRPL)最新软件版本 3.3.0 引入多项升级提案,其中「Confidential Transfers(机密转账)」功能旨在为机构用户提供更高隐私保护,支持对代币余额和转账金额进行加密,同时保留账户及代币类型可见性。 该功能主要面向 XRPL 上的多用途代币(Multi-Purpose Tokens,MPT),目标应用场景包括基金、债券等代币化金融资产。通过零知识证明等加密技术,网络可验证交易有效性,但无需公开具体金额。 据 CoinDesk 报道,XRPL 目前已有约 13.8 亿美元链上现实世界资产(RWA),其中包括约 8.457 亿美元 RLUSD。除 RLUSD 外,XRPL 上还有超过 5.3 亿美元的代币化资产

8 Aug 2026, 05:07 UTC1 viewsread 8 August 2026

美官员:预计霍尔木兹海峡协议将“很快达成” 【美官员:预计霍尔木兹海峡协议将“很快达成”】金色财经报道,8月8日,路透社7日援引一名美国官员的话报道称,伊朗与阿曼围绕霍尔木兹海峡的谈判“有进展”,“预计很快达成协议”。这名官员说,一旦协议达成,霍尔木兹海峡恢复商业航运,美国将解除对伊海上封锁。这名官员同时重申,美方行动将继续基于伊朗履行承诺的实际情况。 (新华社)

8 Aug 2026, 04:44 UTC1 viewsread 8 August 2026

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8 Aug 2026, 04:43 UTC1 viewsread 8 August 2026

贝森特称霍尔木兹海峡将逐步失去战略重要性 【贝森特称霍尔木兹海峡将逐步失去战略重要性】金色财经报道,美国财政部长斯科特·贝森特日前在接受美国亚利桑那州地方电视台采访时说,随着地缘政治局势变化,今后越来越多能源运输将绕过霍尔木兹海峡。他认为,霍尔木兹海峡将逐步失去战略重要性。当地媒体报道,贝森特在采访中说,鉴于伊朗试图控制霍尔木兹海峡这条咽喉要道,海峡将无法回到过去的状态。他声称,在接下来两年时间里,海峡将变成一片普通水域,逐步变得不再那么重要。贝森特说,经由霍尔木兹海峡运输的能源中,有超过50%甚至70%今后将逐步改由地下管道输送。 贝森特此前曾多次表达类似观点,即霍尔木兹海峡作为全球能源咽喉的地位被削弱。在贝森特看来,沙特阿拉伯、阿联酋等国现有输油管道的扩建与改建,以及绕过海峡的地下和陆路管网升级,会在很大程度上替代以往通过油轮穿越海峡的运输方式。 (新华社)

8 Aug 2026, 04:22 UTC1 viewsread 8 August 2026

消息人士:马斯克拒绝让乌克兰用“星链”打击俄境内目标 【消息人士:马斯克拒绝让乌克兰用“星链”打击俄境内目标】金色财经报道,8月8日,据美国方面7日消息披露,美国太空探索技术公司(SpaceX)创始人马斯克明确拒绝允许乌克兰军方利用SpaceX旗下卫星互联网系统“星链”打击俄罗斯境内目标。美国方面援引乌前国防部长费多罗夫两名“身边人”消息称,费多罗夫此前一直在推动利用“星链”打击俄罗斯境内目标,曾尝试通过私下渠道与马斯克接触,但遭到后者拒绝。“截至目前,(马斯克)没有作出同意的决定。”消息称,马斯克之所以拒绝乌方用“星链”对俄进行纵深打击,是担心危机进一步升级。(央视新闻)

8 Aug 2026, 04:08 UTC2 viewsread 8 August 2026

美国现货比特币ETF昨日净流入1.0179亿美元 【美国现货比特币ETF昨日净流入1.0179亿美元】金色财经报道,8月8日,据Trader T监测,美国现货比特币ETF昨日净流入1.0179亿美元。

8 Aug 2026, 04:08 UTC2 viewsread 8 August 2026

美国现货以太坊ETF昨日净流入4960万美元 【美国现货以太坊ETF昨日净流入4960万美元】金色财经报道,8月8日,据Trader T监测,美国现货以太坊ETF昨日净流入4960万美元。

8 Aug 2026, 04:00 UTC2 viewsread 8 August 2026

金色午报 | 8月8日午间重要动态一览 【金色午报 | 8月8日午间重要动态一览】7:00-12:00关键词:Lancium、Crypto.com、CLARITY Act、Astra模型 1.特朗普称向关键矿产投资30亿美元; 2.美官员:乌克兰同意避免攻击非俄籍油轮和黑海石油设施; 3.特朗普媒体集团终止与 Crypto.com 的代币及预测市场合作; 4.美国加密监管法案再遭延期,CLARITY Act或拖至中期选举前博弈; 5.OpenAI称Astra模型具备先进网络安全能力,已启动强化防控措施; 6.英伟达拟向Lancium投资至多30亿美元,支持AI数据中心电力基础设施; 7.ARK Invest昨日大举买入SpaceX、Circle与Cloudflare股票,减持Snowflake和Roblox股票。

Showing the 12 most recent of 80 posts we hold for @dnybtc. 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 — 105,885 of 1,151,006entries 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 76 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“币圈新闻|即时快讯” (@dnybtc), 3,783 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/dnybtc.

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.