Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 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 the other topics.
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 in near-verbatim form on 5 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 297 comparable posts for this entry, running 6 August 2026 to 10 November 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).
Recorded under the key clone_source, last confirmed 11 November 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
65 measurements spanning 97 days, net +1,562. 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 44,795–48,099 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 16:57
46,885
-36
10 Nov 2026, 14:04
46,921
-50
9 Nov 2026, 00:09
46,971
-26
7 Nov 2026, 17:51
46,997
-25
6 Nov 2026, 14:46
47,022
-32
5 Nov 2026, 12:20
47,054
-25
4 Nov 2026, 15:27
47,079
-16
3 Nov 2026, 18:41
47,095
-32
2 Nov 2026, 19:27
47,127
-20
1 Nov 2026, 20:06
47,147
-1
31 Oct 2026, 20:30
47,148
-19
30 Oct 2026, 22:04
47,167
-13
29 Oct 2026, 23:28
47,180
-33
29 Oct 2026, 00:17
47,213
-14
27 Oct 2026, 23:49
47,227
+9
26 Oct 2026, 20:56
47,218
-40
25 Oct 2026, 20:36
47,258
-6
24 Oct 2026, 23:54
47,264
-21
23 Oct 2026, 22:35
47,285
-15
23 Oct 2026, 00:51
47,300
first reading
Engagement
1,938 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
28.9%
avg views ÷ 46,885 subscribers
Avg views / post
13,600
156 posts measured
Reaction rate
3.71%
reactions ÷ views · ER floor
Posts in window
156
of 1,938 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 10 November 2026
Posts held
1,938 (6 August 2026 – 10 November 2026)
Views total
2,116,660
Reactions total
78,588
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 12:52 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 41s
Average length
22s
Measured directly from 13 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
440,366 reactions across 968 posts, in 6 distinct kinds. The most used accounts for 63.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
279,931
63.6%
🗿
98,907
22.5%
🔥
49,297
11.2%
⚡
11,839
2.69%
😭
267
0.061%
🍌
125
0.028%
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 969 of the 1,000 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 440,366 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 5 September 2026 to 10 November 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.
Telegram Stars
Stars received
66
across the posts below
Posts paid on
32
of 998 we hold a reading for · 3%
Most on one post
12
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @marcellcooks. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 5 September 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
0.1%
1 of 1,000 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
12,000
over 1 measured post
Median views · rest
11,000
over 997 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 5 September 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 156 posts held from the last 30 days (0.641%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
holy fk MetaWin just dropped the best casino promo I’ve ever seen
they’re offering $1,000 in risk free gambling for the next 24 hours
everyone who uses code CANTLOSE when they deposit on metawin.com qualifies
you just have to deposit over $250
they’ll credit you any losses up to $1,000 in 24 hours
and the best part is, you don’t even have to wager the credits
there’s zero turn on them
if you gamble definitely …
Showing the 12 most recent of 1,938 posts we hold for @marcellcooks. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts recorded as deleted after publishing
We recorded 1 post on @marcellcooks as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
17 October 2026
Most recent seen missing
17 October 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
1
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 5 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.
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.
Handles this channel named that no longer answer
Dead references
14
handles named in this channel’s posts, vacant today
Evidenced gone
3
we ourselves saw one of these resolve, at some point
Never seen alive
11
vacant every time we have ever looked
@marcellcooks named 14 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@selfmadebysp3nd named in 1 post, 12 October 2026 – 12 October 2026 · confirmed gone 5 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@inuapple named in 1 post, 16 September 2026 – 16 September 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
@allonsolana named in 1 post, 12 September 2026 – 12 September 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@iamheci named in 6 posts, 18 August 2026 – 19 August 2026
@launchonsf named in 4 posts, 9 October 2026 – 11 October 2026
@ninjacatsf named in 3 posts, 9 October 2026 – 11 October 2026
@binance named in 3 posts, 15 August 2026 – 2 September 2026
@solana named in 2 posts, 13 August 2026 – 12 October 2026
@mariojoos named in 2 posts, 6 October 2026 – 7 October 2026
@cz_binance named in 2 posts, 15 August 2026 – 16 August 2026
@seals2025_1bmc named in 1 post, 18 August 2026 – 18 August 2026
@vladtenev named in 1 post, 9 August 2026 – 9 August 2026
@johannkerbrat named in 1 post, 9 August 2026 – 9 August 2026
@decryptmedia named in 1 post, 9 August 2026 – 9 August 2026
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 27 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.
Dior’s Alpha ‼️🚀 @Diorscabal · 23,706 Telegram ranks this channel #1 of 66 here — alongside 65 others — read 17 September 2026
Shah’s Journal @shahlito · 30,842 Telegram ranks this channel #2 of 78 here — alongside 77 others — read 5 September 2026
Cooker's Cooks @CookersCooks · 18,759 Telegram ranks this channel #4 of 70 here — alongside 69 others — read 5 October 2026
Qwerty's Quants @QwertysQuants · 22,545 Telegram ranks this channel #5 of 72 here — alongside 71 others — read 21 September 2026
GimmeAI Channel [EN] @GimmeAI · 25,112 Telegram ranks this channel #6 of 52 here — alongside 51 others — read 12 September 2026
PRIME TRADES 🪐 @primegems · 18,558 Telegram ranks this channel #7 of 75 here — alongside 74 others — read 4 October 2026
Make Money With Matt 💰 @MakeMoneyWithMattTG · 27,967 Telegram ranks this channel #9 of 51 here — alongside 50 others — read 10 September 2026
Phanes Hub @PhanesHub · 46,378 Telegram ranks this channel #9 of 55 here — alongside 54 others — read 10 September 2026
$Bossman Calls @BossmanCallsOfficial · 40,118 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 30 August 2026
Noticias del Mundo y Venezuela @NotiMundoyVzla · 21,203 Telegram ranks this channel #12 of 56 here — alongside 55 others — read 21 September 2026
Shmoos Journal ✍️ @shmooscasino · 29,263 Telegram ranks this channel #13 of 77 here — alongside 76 others — read 7 September 2026
Mrpunk Cooks @cryptotalkwithfrog · 36,235 Telegram ranks this channel #13 of 77 here — alongside 76 others — read 31 August 2026
Iced's House of Degeneracy @houseofdegeneracy · 36,580 Telegram ranks this channel #14 of 80 here — alongside 79 others — read 1 September 2026
Meraki @meraki · 21,311 Telegram ranks this channel #15 of 73 here — alongside 72 others — read 21 September 2026
Gake’s Bakes @GakesBakes · 26,541 Telegram ranks this channel #16 of 70 here — alongside 69 others — read 11 September 2026
Caleb’s Degens @calebsdegens · 24,238 Telegram ranks this channel #17 of 72 here — alongside 71 others — read 14 September 2026
don’t bet the house @dontbetthehouse · 25,521 Telegram ranks this channel #21 of 82 here — alongside 81 others — read 12 September 2026
Catfish Calls by Poe @CatfishcallsbyPoe · 34,888 Telegram ranks this channel #22 of 84 here — alongside 83 others — read 2 September 2026
Levis Calls @LevisAlpha · 44,269 Telegram ranks this channel #23 of 83 here — alongside 82 others — read 27 August 2026
تترا |نرخ لحظهای @tethera_io · 45,933 Telegram ranks this channel #26 of 63 here — alongside 62 others — read 23 August 2026
Dr. Crypto Calls ❁ @dr_crypto_channel · 17,301 Telegram ranks this channel #28 of 66 here — alongside 65 others — read 16 September 2026
Cold’s Calls 🧊 @coldsdiary · 31,775 Telegram ranks this channel #28 of 64 here — alongside 63 others — read 9 September 2026
Ralph’s Call @ralphscall · 28,774 Telegram ranks this channel #29 of 73 here — alongside 72 others — read 3 September 2026
Meta Gambler @MetaGambler · 26,840 Telegram ranks this channel #30 of 79 here — alongside 78 others — read 18 September 2026
This channel appears in 63 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Marcell's Trenches” (@marcellcooks), 46,885 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/marcellcooks.
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.
