Crypto & trading — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Views per post sit far below this size band
16.9 average views per post against 70,933 subscribers — an engagement rate of 0.024%. Across the 2,906 registered channels in the same cohort — 31,629–99,981 subscribers, posting mainly in English — the middle half sit between 1.91% and 12.2%, with a median of 5.54%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
52 of 52 published in the window (52 exact, 0 rounded by Telegram)
Views totalled
878
Mature posts only
0.025% over 45 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 12 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.
Growth
8 measurements spanning 7 days, net -1,771. 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 70,667–72,970 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 14:24
70,933
-201
11 Aug 2026, 11:13
71,134
-361
10 Aug 2026, 13:44
71,495
-124
9 Aug 2026, 15:14
71,619
-292
8 Aug 2026, 13:41
71,911
-152
7 Aug 2026, 16:15
72,063
-235
6 Aug 2026, 17:38
72,298
-406
6 Aug 2026, 01:46
72,704
first reading
Engagement
52 posts held, back to 2 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 · 30 days
0.024%
avg views ÷ 70,933 subscribers
Avg views / post
16.9
52 posts measured
Reaction rate
4.55%
reactions ÷ views · ER floor
Posts in window
52
of 52 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 1 of 52 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
52 (2 August 2026 – 12 August 2026)
Views total
878
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 19:05 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
330
Videos
1
Links
211
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
1 reaction across 1 post, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1
100.0%
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 1 of the 52 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 52 most recent posts we hold, published 2 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.
Ethereum's next chapter: quantum-proofing, privacy, and AI-coded security checks
Buterin's updated roadmap signals Ethereum is playing a very long game · quantum resistance isn't an immediate threat, but baking it in now avoids a painful, rushed migration later. The AI angle is more near-term interesting: using machine learning for formal verification could dramatically reduce the smart-contract bugs that have drain…
Wintermute plans $1B push into AI and high-frequency trading as it moves deeper into traditional markets
A crypto-native market maker committing this scale of capital to HFT and AI infrastructure signals a deliberate convergence play · Wintermute is effectively positioning itself to compete on TradFi turf where latency and algorithmic edge are everything.
🟢 Bullish · large-scale institutional expansion from a major…
Bitcoin miner fee revenue hits decade low at under 0.7% of total income
When fees make up barely half a percent of miner revenue, the security budget argument for Bitcoin becomes harder to wave away · block subsidies are doing almost all the heavy lifting, and that halves again in 2028. The real tell here is behavioral: miners pivoting to AI workloads signals they don't expect fee markets to bail them out anytime so…
Riot Platforms pivots its power assets toward AI with Anthropic deal
Riot signing a long-term agreement with Anthropic signals that Bitcoin miners are increasingly monetizing their core infrastructure · cheap power and large facilities · by leasing capacity to AI compute demand rather than solely chasing block rewards. This is the same playbook Core Scientific and others have run, and it reframes miners as energy in…
Keel exits US Bitcoin mining after revenue halves in Q2
Keel's 50% revenue drop in a single quarter accelerated what was likely already a strategic decision · US mining economics have been grinding smaller operators down since the April halving compressed margins. The pivot to AI and HPC infrastructure is a familiar playbook now, but the key question is whether Keel has the capital and technical credibility to compe…
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📡 @cryptonewsweb_3
Riot Platforms liquidating Bitcoin reserves to bankroll a $9.1B AI infrastructure deal with delayed returns
Riot is essentially converting its BTC treasury into a long-dated real estate and AI infrastructure bet · rent payments don't kick in until 2027-2028, meaning the company is absorbing a multi-year cash drag funded by selling the asset it was built around. The strategic pivot reflects how mining economics are p…
Riot Platforms pivots toward AI revenue with reported $9.1B Anthropic data center deal
If confirmed, this would be one of the largest infrastructure contracts in the AI buildout cycle · and a significant business model shift for a miner whose margins have been squeezed since the halving. The market's 25% after-hours reaction reflects how starved crypto infrastructure stocks are for non-mining revenue streams. Watch …
Anthropic taps Riot's Texas mining site for $9B compute contract
A leading AI lab securing nearly 200 megawatts from a Bitcoin miner's infrastructure signals that the two industries are increasingly competing for the same underlying resource: cheap, large-scale power. For Riot, this diversifies revenue well beyond BTC price cycles · a meaningful shift in how mining companies can monetize stranded capacity. Watch whe…
BTCPay Server hit by critical exploit, community pools 3 BTC for recovery bounty
A critical vulnerability in BTCPay Server · one of the most widely used self-hosted Bitcoin payment processors · was apparently discovered and exploited, with the team noting AI may have assisted in identifying the weakness. The fact that responsible disclosure came from Craig Raw and the Bitcoin Red Team fund suggests the security rese…
Worldcoin's biggest corporate backer is sitting on a $207M unrealized loss with its revenue stream gone
An unrealized loss of this size is painful but manageable · until you factor in the context: the company simultaneously lost its primary cash source, booked a $7.8M credit-loss allowance, and diluted shareholders by 109%. That combination means the balance sheet pressure is real, not just a paper number. Watch whe…
Showing the 12 most recent of 52 posts we hold for @cryptonewsweb_3. 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.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 52 most recent posts we hold, published 2 August 2026 to 12 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 463,410 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Domains linked from posts
7 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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.
“Crypto News AI” (@cryptonewsweb_3), 70,933 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cryptonewsweb_3.
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.
