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 96% 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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 8 June 2026 to 31 July 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 @Defiscamcheck — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, 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.
35 measurements spanning 44 days, net -215. 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 48,582–48,861 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 14:02
48,614
-44
16 Sept 2026, 05:16
48,658
-20
14 Sept 2026, 08:21
48,678
-4
12 Sept 2026, 16:01
48,682
-15
10 Sept 2026, 16:16
48,697
-13
7 Sept 2026, 11:17
48,710
-14
4 Sept 2026, 14:16
48,724
+27
3 Sept 2026, 02:17
48,697
+15
2 Sept 2026, 02:07
48,682
-5
1 Sept 2026, 03:09
48,687
-14
31 Aug 2026, 01:56
48,701
-16
30 Aug 2026, 03:25
48,717
-9
28 Aug 2026, 05:24
48,726
-5
27 Aug 2026, 04:08
48,731
-2
26 Aug 2026, 07:03
48,733
-10
25 Aug 2026, 04:57
48,743
-1
24 Aug 2026, 03:17
48,744
-9
22 Aug 2026, 12:24
48,753
-2
21 Aug 2026, 03:43
48,755
-1
20 Aug 2026, 05:27
48,756
first reading
Engagement
62 posts held, back to 8 June 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 104 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.6%
avg views ÷ 48,614 subscribers
Avg views / post
14,400
35 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
35
of 62 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 24 September 2026
Posts held
62 (8 June 2026 – 24 September 2026)
Views total
504,430
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 18:43 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
≈2,600
Videos
≈21
Links
≈2,940
Lifetime counters from Telegram’s own channel header, read 26 September 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.
Video runtime
10s
Average length
10s
Measured directly from 1 video 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.
Кошельки, ассоциированные с a16z Paradigm (MLM блог уточнил), производят отстейкинг к 1 октября на сумму более $100М в токенах Hype
6 октября также ожидается приход первой суммы процентов за стейблы от компании Circle/Coinbase (до $15М).
Кошельки анстейкеров:
https://hypurrscan.io/address/0x8b30c22c6610be016d13c4a6cfc23986e911d914#txs
https://hypurrscan.io/address/0x0a319407fdbe2776400abfcf17eaa706051bb0ad#txs
h…
$32.3M - прибыль 3 крупнейших трейдеров по токену Near на бирже Hyperliquid
3 юзера открывали позицию от 1.81$ до 2.35$.
Near взлетел в последнее время на шиллинге ончейн-приватности - при помощи Near Intents юзеры свапают между 9 блокчейнами, в том числе в Zec.
Также Barry Silbert из Grayscale (крупнейший выгодоприобретатель от пампа Zec) имеет огромные багажи Near еще с 2021 года.
Вопросов к пампу нет, заслужен…
Древнее пророчество гласит: в самый темный час медвежьей поры луч зеленого света прорежет тьму - и да начнется великая БЫЧКА.
Наблюдение: в прошлом цикле, в начале бычьего рынка, мы действительно сделали такой же фитиль. киты Bitfinex снова указывают нам путь в будущее
(и в этот раз фитиль кратно длиннее!! BTC $250k coded)
P.s. ну ладно, 150к хотя бы🥲
Гарретт Буллиш (в убытке на $35М по шорту Zec на Hyperliquid) показал свой спот адрес Zec
Ранее он вывел 202К Zec и фактически его шорт является частично дельта нейтральным (размер спота в разы больше шорта)
Zec адрес: t1gGCYpyURMo2FcYDSqeR8pgp2Kx9rnT72V
Леопольд снова в деле. Разорившийся в июле хедж фонд Situational Awareness снова дегенит по крупному
Вчера, 17 сентября «некто» (wall street указывает пальцем на героя) заплатил $100М премии по колл опционам на 2 октября:
Было куплено:
Micron - 1 млн акций со страйком 1000 (премия $44М)
Sandisk - 420к акций со страйком 1600 (премия $41М)
Intel - 2 млн акций со страйком 115 (премия $7,3М)
MRVL - 350к акций со ст…
Garrett Bullish в убытке на $26.5M по ZEC
Он шортил ZEC еще в в начале лета, был в плюсе на $20М после слухов о уязвимости в системе шилдинга ZEC, но не зафиксировал прибыль, а удержал позицию.
Ликвидация по 2631$, позиция на $51М при средней 665$
https://hypurrscan.io/address/0x92ea19eceb7a8de0f50978a1583a5d8b018050e9#perps
1 SOL and dream
Экс-KOL owen1v9 реактивировал свой твиттер (пока закрытый профиль) и присоединился к FOMO
В 2024м-2025х годах у него был сильный моушен и он двигал/специализировался на бинанс альтах, делая пампы на десятки процентов.
Посмотрим, остался ли у него вайб и как он будет и что будет пампить среди новых мемов
Пока его баланс 1 SOL
(в FOMO за ним фолловят 700 человек, но пока нет подтверждения и связи м…
Притормози, братан, нажми на стоп и оглянись назад (с)
Сегодня немного про ИИ - как вообще делают бизнес фронтирные лабы.
Всего два этапа: (сначала) тренировка и (потом) инференс.
тренировка стоит денег,
инференс зарабатывает деньги (вроде пока все просто?)
но лабы так агрессивно конкурируют, что выкатывают новые модели одну за другой, не успевая толком выдоить профит из предыдущих. а рост показывать надо обязател…
Variational - ч.2: механика, swaps и где тут дыра
Почему перпы на реальные активы - это боль
Перп на нефть или медь не отслеживает спот, потому что спота в привычном виде нет. Он привязан к фьючерсам с конкретными датами, а те приходится перекладывать - в документации Variational это размазанный пятидневный цикл. Во время перекладывания цена дрейфует, и на обычной бирже трейдеры сами загоняют перп в премию или диск…
Showing the 12 most recent of 62 posts we hold for @Defiscamcheck. 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 43 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
RunToRam @RunToRam · 23,334 Telegram ranks this channel #1 of 84 here — alongside 83 others — read 25 September 2026
AX1 @ax1vc · 20,693 Telegram ranks this channel #1 of 80 here — alongside 79 others — read 25 September 2026
CryptoEarn Important @CryptoEarnImp · 27,966 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 9 September 2026
Герман на блокчейне 🇪🇹 @blockchaingerman · 32,945 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 4 September 2026
cryptocholy @cryptocholy · 38,600 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 31 August 2026
IDO research @idoresearch · 57,177 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 23 August 2026
hexdrunker reflections @hexdrunker_reflections · 31,354 Telegram ranks this channel #2 of 73 here — alongside 72 others — read 6 September 2026
Климченко | про криптовалюту @thevse · 35,323 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 2 September 2026
Кэпитал News @drops_daily · 21,260 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 24 September 2026
top traders desk @toptraders0x · 25,970 Telegram ranks this channel #3 of 86 here — alongside 85 others — read 13 September 2026
Coin listing @coin_listing · 35,591 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 2 September 2026
Sergey (ICO Drops) заметки @icodrops_sergey · 42,868 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 28 August 2026
КриптоАтака 24 ⚡️ @cryptoattack24 · 56,006 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 23 August 2026
Data | CryptoAttack 🤖 @cryptoarsenal · 25,594 Telegram ranks this channel #5 of 80 here — alongside 79 others — read 14 September 2026
IVASCO | Иващенко Юрий @yivashchenko · 28,926 Telegram ranks this channel #5 of 91 here — alongside 90 others — read 9 September 2026
Сергей Маслов | Крипто-Евангелист @crptmnk · 44,754 Telegram ranks this channel #5 of 50 here — alongside 49 others — read 6 September 2026
DНЕВНИКИ Крипто @dnevniki_crypto · 33,175 Telegram ranks this channel #5 of 84 here — alongside 83 others — read 4 September 2026
ТЕМКА В СХЕМКЕ @TVS_TEAM · 37,944 Telegram ranks this channel #5 of 70 here — alongside 69 others — read 31 August 2026
Whitelist Media @whitelist1 · 41,611 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 29 August 2026
ForkLog @forklog · 92,233 Telegram ranks this channel #5 of 95 here — alongside 94 others — read 16 August 2026
SWIPER @swiper_money · 28,346 Telegram ranks this channel #6 of 80 here — alongside 79 others — read 9 September 2026
SWOP TOKY | CRYPTO MEDIA @swoptoky · 31,527 Telegram ranks this channel #6 of 78 here — alongside 77 others — read 5 September 2026
Incrypted @incrypted · 108,513 Telegram ranks this channel #6 of 97 here — alongside 96 others — read 14 August 2026
Pursuit4Million|Андрей Соболев @P4M_channel · 32,981 Telegram ranks this channel #7 of 85 here — alongside 84 others — read 3 September 2026
This channel appears in 168 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“DEFI Scam Check” (@Defiscamcheck), 48,614 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Defiscamcheck.
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.