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 17 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
Growth
56 measurements spanning 86 days, net -10,436. 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 37,796–51,362 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
31 Oct 2026, 02:50
39,361
-122
30 Oct 2026, 05:39
39,483
-99
29 Oct 2026, 03:10
39,582
-95
28 Oct 2026, 01:30
39,677
-55
27 Oct 2026, 01:39
39,732
-50
26 Oct 2026, 00:28
39,782
-31
24 Oct 2026, 23:16
39,813
-59
24 Oct 2026, 01:47
39,872
-60
23 Oct 2026, 01:18
39,932
-79
22 Oct 2026, 00:50
40,011
-72
20 Oct 2026, 16:55
40,083
-41
19 Oct 2026, 16:56
40,124
-51
18 Oct 2026, 14:44
40,175
-38
17 Oct 2026, 17:37
40,213
-25
16 Oct 2026, 16:45
40,238
-44
15 Oct 2026, 16:41
40,282
-88
14 Oct 2026, 15:28
40,370
-65
13 Oct 2026, 06:19
40,435
-105
9 Oct 2026, 02:39
40,540
-372
4 Oct 2026, 17:39
40,912
first reading
Engagement
38 posts held, back to 27 May 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 164 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
56.9%
avg views ÷ 39,361 subscribers
Avg views / post
22,400
7 posts measured
Reaction rate
3.04%
reactions ÷ views · ER floor
Posts in window
7
of 38 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
Window
Rolling 30 days · latest post in window 30 October 2026
Posts held
38 (27 May 2026 – 30 October 2026)
Views total
156,800
Reactions total
4,768
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Oct 2026, 21:25 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
Video runtime
4m 53s
Average length
24s
Measured directly from 12 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
22,841 reactions across 37 posts, in 5 distinct kinds. The most used accounts for 26.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
6,078
26.6%
❤
5,698
24.9%
🎉
5,621
24.6%
🔥
5,443
23.8%
😍
1
0.004%
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 38 of the 38 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 23,602 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 27 May 2026 to 30 October 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.
❗️ Biggest Exchange Hack in History: Binance Loses Nearly as Much as All CEX Hacks Combined Over 12 Years
Binance founder CZ confirmed the hack, assuring users their funds are safe.
➖ Stolen: Estimated losses of $5.6–5.9B. Binance hasn’t confirmed the amount. Previous record: Bybit’s $1.4B hack in 2025.
➖ Frozen: $2.54B, including $1.5B+ in USDT by Tether and $800M+ in USDC by Circle. Funds are frozen, not yet rec…
📣 BNB Chain Is Preparing a New Ultra-Fast Blockchain
BNB Chain developers are planning to launch a new high-performance Layer 1 blockchain. Changpeng Zhao (CZ) confirmed the plans on X.
BSC will continue operating as usual, while the new network will be optimized for use cases requiring maximum speed and predictable transaction inclusion in blocks.
There will be no new token: the existing BNB will be used for tran…
🪙 Nearly 36% of All Ethereum Is Now Staked. Something Big Is Happening. 👀
Ethereum just hit a new milestone: 43.8 MILLION ETH — worth $108.4 BILLION — is now locked in staking. 🔥
That’s 35.9% of the entire ETH supply!
And the numbers are getting even more interesting 👇
🚀 7.96 million ETH flowed into staking in the first 9 months of 2026 — 6.1x more than during the same period last year.
🐋 Big players are going a…
📈 Solana Is Becoming a Hub for Real-World Assets: Nearly 6x Growth in 13 Months
RWA (Real-World Assets) are tokenized traditional assets, such as bonds, stocks, and loans, issued on the blockchain.
➤ The value of RWAs on Solana surged from $751 million (September 1, 2025) to $4.37 billion (October 14, 2026).
➤ U.S. Treasuries account for the largest share at $1.52 billion.
➤ A year ago, Solana’s RWA market was le…
🔻 BTC Funding Turns Negative on Binance — Bears Take Control
📉 BTC funding dropped to -0.0073%, signaling strong short pressure.
🔹 Bearish sentiment: Hotter-than-expected US inflation (CPI & PPI) fuels Fed rate hike fears.
🔹 Short squeeze potential: Heavy short positioning could trigger a sharp rebound, but it may be short-lived.
🎯 Key BTC levels: $80K & $74K
🚀 What’s next — short squeeze or further downside?
🔥…
Bitcoin’s monthly MACD is signaling the end of the bearish momentum, which historically has marked the transition into the early stages of a bull market 😎
We could still see a correction around the midterm elections. Historically, the bottom of that correction has been one of the best opportunities to enter the market at discounted prices.
BTC is successfully bouncing off the 200-week MA test. During all previous corrections, a test of this level has consistently signaled bottom formation and preceded a new ATH 🔼
A strong confirmation signal for those building spot positions now. A retest of the initial reaction zone at $75K–$70K is also possible, offering an opportunity to enter at more favorable levels.
BTC managed to break through one of the key long-term resistance levels. What’s important to see now is a successful hold above $86K.
🟢 Last time, a breakout of this level was followed by a new ATH.
🔴 If we fall back below it, there’s a risk that the selling pressure will continue.
The next opportunity for altcoin growth could come from a drop in BTC dominance 🤔
BTC.D is entering a new compression phase, which could be a positive signal for altcoins. The logic is simple:
🟢 BTC.D rises → capital concentrates in Bitcoin → bullish for BTC
🔴 BTC.D falls → capital flows into altcoins → creating room for an altseason
Ethereum is targeting $3,300 🔼
The last triangle breakout sent ETH nearly +31% in just three days. Now the chart is showing the exact same setup again — another triangle with a potential breakout to the upside.
If ETH repeats the same move this time, we could see it around $3,300.
Bitcoin is trading inside the range again, with everything coming down to two key levels:
🟢 $83K – a breakout and successful hold above it opens the way to $88K–$92K first, and potentially $100K after that.
🔴 $77K – losing this support could send BTC down to the next strong cluster around $71K–$72K.
As long as price remains inside the range, opening leveraged positions isn’t the best idea. Better to wait for the b…
❤222👍222🔥198🎉176
Showing the 12 most recent of 38 posts we hold for @web3worldchannel. 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.
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.
Mentions
Named by 1 registered channel — 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.
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 31 October 2026 — this
entry's latest reading, not the date you are reading this.
“BlockChainWORLD.ai - daily crypto and AI news and promos!” (@web3worldchannel), 39,361 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/web3worldchannel.
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.
