Other / unclassifiable — 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 47% 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 7 other registered channels. This entry also sits inside a group of 7 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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. 18 of the 30 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 56 comparable posts for this entry, running 26 June 2026 to 30 October 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).
Of the group of 7 channels, the one whose matching posts we hold earliest is @bankarf. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · 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.
Channels linked by matching posts
This channel is in a group of 7 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
64 measurements spanning 96 days, net +9,552. 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 41,261–73,304 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
10 Nov 2026, 00:44
64,378
-345
8 Nov 2026, 16:40
64,723
-404
7 Nov 2026, 06:46
65,127
-197
6 Nov 2026, 03:27
65,324
-139
5 Nov 2026, 05:59
65,463
-195
4 Nov 2026, 01:57
65,658
-931
3 Nov 2026, 02:20
66,589
-889
1 Nov 2026, 23:40
67,478
-313
1 Nov 2026, 00:36
67,791
-391
31 Oct 2026, 01:26
68,182
-475
30 Oct 2026, 04:30
68,657
-950
29 Oct 2026, 01:49
69,607
+8,173
27 Oct 2026, 23:55
61,434
+1,914
26 Oct 2026, 22:58
59,520
-67
25 Oct 2026, 22:18
59,587
-39
24 Oct 2026, 23:15
59,626
-119
23 Oct 2026, 20:50
59,745
+4,776
23 Oct 2026, 00:18
54,969
+10,011
21 Oct 2026, 21:29
44,958
-113
20 Oct 2026, 18:27
45,071
first reading
Engagement
70 posts held, back to 26 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 194 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
34.0%
avg views ÷ 64,378 subscribers
Avg views / post
21,900
18 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
18
of 70 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
70 (26 June 2026 – 30 October 2026)
Views total
393,700
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 00:33 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
249
Videos
1
Links
10
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Video runtime
11s
Average length
11s
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.
Advertising
Ad load
1.43%
1 of 70 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
21,800
over 1 measured post
Median views · rest
21,700
over 69 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.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VfnxxqnuPJ
1
25 September 2026
25 September 2026
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 70 most recent posts we hold, published 26 June 2026 to 30 October 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: 3 of 18 posts held from the last 30 days (16.7%) 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).
В результате взлома Binance похищено более $5,6 млрд в криптовалюте. Сообщается, что это крупнейший взлом в истории крипторынка.
Среди украденных активов — $1,57 млрд в USDT, $1,45 млрд в BTC, $875 млн в ETH, $823 млн в USDC, $234 млн в TRX, $50 млн в XAUT, $75 млн в WBETH и $88,5 млн в RLUSD. Ещё $447,5 млн приходится на другие криптовалюты.
Binance временно остановила пополнение счетов и вывод средств
RTX 5080 теперь стоит почти вдвое дороже, чем на старте продаж. Цены приблизились к 2 тысячам долларов, а отдельные версии у американских продавцов достигают 3 тысяч долларов. Ещё сильнее подорожала RTX 5090: на фоне дефицита её предлагают за 12 тысяч долларов
Нейросети официально стали умнее врачей: ИИ от Microsoft ставит диагнозы точнее врачей общей практики, показало исследование, опубликованное в журнале Science. Система самостоятельно опрашивает пациентов, назначает обследования и проверяет диагнозы. В сложных случаях ИИ показал точность 83% против 36% у врачей, а в обычных — 80% против 47%. При этом затраты на обследования оказались ниже.
РЖД резко повысит сбор за возврат билетов на поезда дальнего следования. С 1 декабря он составит от 1% до 10% стоимости билета, тогда как сейчас это 3,7 рубля. Размер зависит от времени до отправления — чем раньше пассажир сдаст билет, тем меньше потеряет, пояснили в компании.
Для ипотеки на 8 млн рублей российской семье потребуется доход 294 тысяч рублей в месяц, чтобы платеж не превышал 30% бюджета, — подсчеты экспертов. Даже при снижении ставок до 15–16% ежемесячный платеж составит около 100–111 тысяч рублей. При этом удешевление кредитов может спровоцировать рост цен на жилье.
Для семейной ипотеки с одним ребенком необходим доход от 92,1 тысячи рублей в регионах и от 206 тысяч рублей …
Первый складной iPhone сегодня поступает в продажу — Apple официально запускает iPhone Duo более чем в 70 странах. Смартфон получил 7,6-дюймовый экран, чип A20 Pro, камеры на 48 Мп и титановый корпус, а предзаказы в некоторых странах разобрали за 15–30 минут. В США цена начинается от $1999, в России — примерно от 300 тысяч рублей, а версия на 2 ТБ стоит почти 500 тысяч.
Visa получила разрешение выйти на рынок Китая. Народный банк КНР разрешил начать подготовку к созданию структуры, которая будет обрабатывать операции по картам американской платёжной системы на территории страны. Решение последовало после нескольких переговоров президента США Дональда Трампа и председателя КНР Си Цзиньпина, состоявшихся в мае и сентябре, сообщает The Wall Street Journal.
ChatGPT и Claude могут полностью заблокировать доступ для россиян после выхода на биржу, предупреждают эксперты.
По их мнению, OpenAI и Anthropic придётся жёстче контролировать расходы, поскольку каждый запрос к нейросетям требует затрат. Из-за этого ограничения для российских пользователей могут усилиться.
Первый iPhone Duo в России продали за 1,6 млн рублей. Темщики достали гаджет на 512GB раньше официального мирового релиза и сегодня доставили покупателю в Москву из ОАЭ. Он заплатил $20 тысяч при официальной цене $2199
Психологи выяснили, что обеспеченные люди меньше нуждаются в общении.
Анализ данных 134 тысяч взрослых выявил связь высокого дохода со спокойствием и ответственностью.
При этом желание заводить друзей у них выражено слабее, а экстраверты в среднем зарабатывают меньше.
Showing the 12 most recent of 70 posts we hold for @tutoryalk. 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.
Posts edited after publishing
@tutoryalk edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
30 October 2026
Most recent edit
1 November 2026
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.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Деньги|Бизнес Бесконечный Туториал” (@tutoryalk), 64,378 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/tutoryalk.
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.
