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 70% 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 1 other registered channel. 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)
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. 10 of the 10 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 17 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 2, the earliest publisher we hold is @CryptoPulsePress. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 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 1 other registered channel, 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.
20 measurements spanning 41 days, net -17,068. 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 1,667–23,855 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 16:42
4,227
-95
13 Sept 2026, 14:39
4,322
-88
9 Sept 2026, 20:56
4,410
-39
4 Sept 2026, 23:41
4,449
-1,936
1 Sept 2026, 02:18
6,385
-1,616
29 Aug 2026, 10:26
8,001
-28
26 Aug 2026, 18:12
8,029
-1,229
23 Aug 2026, 09:34
9,258
-204
19 Aug 2026, 12:06
9,462
-2,290
18 Aug 2026, 12:34
11,752
-2,927
17 Aug 2026, 10:28
14,679
-646
15 Aug 2026, 20:12
15,325
-112
14 Aug 2026, 06:54
15,437
-2,256
13 Aug 2026, 01:34
17,693
-1,671
12 Aug 2026, 00:19
19,364
-29
10 Aug 2026, 23:04
19,393
-1,239
9 Aug 2026, 19:41
20,632
-481
8 Aug 2026, 23:03
21,113
-182
7 Aug 2026, 20:04
21,295
no change
7 Aug 2026, 17:31
21,295
first reading
Engagement
376 posts held, back to 6 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 36 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
65.8%
avg views ÷ 4,227 subscribers
Avg views / post
2,780
78 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
78
of 376 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 28 August 2026
Posts held
376 (6 August 2026 – 28 August 2026)
Views total
217,034
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 19:17 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
2m 50s
Average length
5s
Measured directly from 36 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.
💧 MAROHA @Airdrop💧
🏆 Task: ➕ 25% of total supply » Total airdrop pool.
👨👩👧 Referral: ➕ 10% of everything your referrals mine.
➡️ Airdrop bot for MAROHA
↪️ Start the MAROHA mini app, connect your TON wallet and start mining.
↪️ Play the game 10 attempts per day and claim your daily streak rewards.
↪️ Join MAROHA Telegram channel.
↪️ Follow MAROHA on X.
↪️ You can perform the other tasks on the page.…
#Today's Headlines🔥🔥🔥
1. BTC breaks through $81,000, up 0.90% intraday.
2. Bitcoin spot ETFs saw a net inflow of $242 million yesterday, marking the 9th consecutive day of net inflows.
3. Aave V4 deposits surpass $800 million, up 30% weekly.
4. A BIT-related entity opened a total of $49.98 million in long ETH accounts through three new addresses.
5. Suspected a16z institution has invested 36 million USDC to buy 441,…
#Crypto_News🔥🔥🔥
Upbit's parent company, Dunamu, partners with Visa to explore stablecoins and AI payments
On August 28th, The Block reported that Dunamu, the parent company of the South Korean cryptocurrency exchange Upbit, signed a strategic cooperation agreement with Visa to jointly explore innovative financial services based on stablecoins and AI. The two companies will combine Dunamu's digital asset technology w…
Whale and institutional transactions:
1. A new wallet received 440,000 HYPE ($37.25 million) from FalconX.
2. Over the past ten days, Multicoin Capital has transferred a total of 815,885 HYPE ($59.8 million) via Coinbase Prime.
3. Keith from Matrixport established a new wallet, contributing 10 million USDC and initiating a 20x long position on 7,000 ETH, valued at approximately $17.44 million.
4. Metaplanet transfer…
#Project Analysis🔔🔔🔔
CryptoPulse: From Content Consumption to Value Participation, Exploring New Growth Models for Web3 Communities
As the Web3 user base continues to expand, competition among platforms is shifting from "who can attract users" to "who can keep users engaged." CryptoPulse, focusing on user participation and community growth, integrates content, social features, and interactive mechanisms into its pro…
Ethereum exchange reserves declined approximately 18% between June 3 and August 27, decreasing from 7.69 million to 6.28 million ETH. Meanwhile, Bitcoin holdings experienced a modest 0.25% increase over the same period, nearing their historical maximum. Notably, Ethereum continued to see outflows despite recent price gains, with an additional 275,000 ETH withdrawing from exchanges after August 19.
Santiment reports that Ethereum (ETH) reserves on exchanges declined approximately 18% from about 7.69 million on June 3 to roughly 6.28 million as of August 27. Conversely, Bitcoin (BTC) holdings experienced a marginal increase of around 0.25% over the same period, nearing their maximum capacity. Notably, ETH outflows persisted despite the token's recent price appreciation, with an extra 275,000 coins withdrawn from…
Evernorth, the asset manager overseeing XRP, reports that its SEC registration is now effective, potentially paving the way for a Nasdaq listing. theblock.com
Yesterday, spot Bitcoin ETFs attracted approximately $242.3 million in net inflows, while spot Ethereum ETFs saw net inflows of roughly $225.8 million.
Showing the 12 most recent of 376 posts we hold for @Airdropz5. 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.
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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@Airdropz5 named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@defi_crypto_io24 named in 1 post, 29 August 2026 – 29 August 2026
@defi_crypto_iobot named in 1 post, 18 August 2026 – 18 August 2026
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Airdrop Offical” (@Airdropz5), 4,227 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Airdropz5.
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.