Как научиться грамотно работать с криптовалютой и получать с нее пассивный доход?
Узнаете на бесплатном курсе «Моя первая крипта»: https://t.me/tolstyakov_mpk/239
РКН №5279147772
Created
Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 89% 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 word for word on 3 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)
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. 6 of the 20 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 15 comparable posts for this entry, running 21 July 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 4, the earliest publisher we hold is @tolstyakov_mpk — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · 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 3 other registered channels, 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.
56 measurements spanning 90 days, net -334. 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 12,430–12,871 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
5 Nov 2026, 14:46
12,486
-5
4 Nov 2026, 16:18
12,491
+10
3 Nov 2026, 16:17
12,481
-4
2 Nov 2026, 14:59
12,485
-3
1 Nov 2026, 17:46
12,488
-3
31 Oct 2026, 20:56
12,491
+9
30 Oct 2026, 17:27
12,482
-2
29 Oct 2026, 14:09
12,484
-4
27 Oct 2026, 12:37
12,488
-3
26 Oct 2026, 10:46
12,491
-5
25 Oct 2026, 11:41
12,496
-5
24 Oct 2026, 13:35
12,501
-4
23 Oct 2026, 11:30
12,505
-4
22 Oct 2026, 07:54
12,509
-5
19 Oct 2026, 19:57
12,514
-10
18 Oct 2026, 21:57
12,524
-7
17 Oct 2026, 20:27
12,531
-6
16 Oct 2026, 22:10
12,537
-1
15 Oct 2026, 21:49
12,538
-3
14 Oct 2026, 22:44
12,541
first reading
Engagement
52 posts held, back to 21 July 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.43%
avg views ÷ 12,486 subscribers
Avg views / post
678
16 posts measured
Reaction rate
1.13%
reactions ÷ views · ER floor
Posts in window
16
of 52 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. It is computed over the 15 of 16 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 November 2026
Posts held
52 (21 July 2026 – 2 November 2026)
Views total
10,844
Reactions total
112
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 19:22 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
592
Videos
45
Links
475
Lifetime counters from Telegram’s own channel header, read 6 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
9s
Average length
9s
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.
Reaction mix
611 reactions across 49 posts, in 10 distinct kinds. The most used accounts for 54.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
333
54.5%
👍
146
23.9%
❤
101
16.5%
💯
11
1.80%
🤩
7
1.15%
😍
5
0.818%
😁
3
0.491%
🥰
3
0.491%
👏
1
0.164%
🤔
1
0.164%
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 49 of the 52 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 611 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 52 most recent posts we hold, published 21 July 2026 to 2 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 16 posts held from the last 30 days (25.0%) 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).
Крупнейший взлом в истории крипты: что случилось с Binance и что делать с вашими монетами
Октябрь получился непростым, поэтому в этот раз в подкасте 🎙️Руслан Насреддинов разбирает новые риски, о которых стоит знать каждому, кто держит крипту.
О чем выпуск:
〰 Крупные инвесторы уходят? За месяц из крипто-ETF вывели больше $2 млрд, сильнее всего досталось фондам на эфириум. Руслан объясняет, что это значит на самом д…
Кешбэк 2026, или как я нашел дополнительные 15 000 рублей в месяц
После сквоша, мой друг рассказал, что получает 7% кешбэка в ресторанах. Я задумался: а насколько эффективно вообще устроена моя собственная система кешбэка?
Мы привыкли считать, что 2–3% возврата с покупок — это нормально. Но в 2026 году даже при сокращении банковских бонусов можно выжать из повседневных расходов гораздо больше.
Из этой темы у меня …
Провел вчера второй эфир из цикла предобучения к курсу «Инвест-зарплата». Рад, что могу дать вам хоть немного спокойствия в эпоху высокой неопределенности 🙏
Говорили про криптовалюту как инструмент, который может дать крутой буст портфелю, как ничто другое. Рассказал о том, как сейчас работать с криптой с учетом нового законодательства. Судя по вашим комментариям в чатах, было полезно:)
Очень вдохновляюсь и воодуше…
Сегодня в 19:00 по Москве — второй эфир. Говорим про криптовалюту 🔥
Многие до сих пор обходят крипту стороной, потому что боятся скама и высокой волатильности.
Да, определенные риски есть, как и везде. Поэтому сегодня я покажу, как заходить в криптовалюту безопасно, с умом, и как окупать свои вложения через пассивный доход в 10–25% годовых.
На эфире:
▪️ покажу, как можно получать доход на криптовалюте уже завтра,…
1800 человек были вчера на эфире про инвестиции в фондовый рынок в конце 2026 года 🔥
Обсудили, какие инструменты лучше выбирать сейчас и на какие стратегии ориентироваться. То есть по сути мы охватили базу, которая позволяет создать устойчивый портфель для роста капитала и пассивного дохода. Я показал некоторые свои позиции и результаты. Благодарю всех за вовлеченность, друзья!
Сегодня идем дальше — в 19:00 мск гов…
Стартуем ровно в 19:00 мск 🚀
Начнем с облигаций, затем продолжим акциями, покажу несколько кейсов. Будет важная информация на тему индивидуальных инвестиционных счетов, а также по облигациям в этом экономическом цикле, который на самом деле может и не повториться.
Поэтому я вас очень жду для того, чтобы всю эту информацию вам выдать, рассказать о том, как формировать капитал и пассивный доход на текущем рынке, вне …
Как создать вторую зарплату на фондовом рынке в 2027 году?
Расскажу сегодня в 19:00 мск на живом эфире 😉
Советую прийти, даже если вы уже не новичок — именно такие эфиры помогают навести порядок в голове и сфокусироваться на главном: на своем капитале и своей инвестиционной зарплате.
Сегодня разберем:
👉🏻 облигации — начну именно с них, потому что это важно сейчас
👉🏻 акции
👉🏻 как из этого собрать регулярный доход,…
Спасибо за вашу активность в комментариях под уроками 🔥
Очень радуюсь, когда вижу такую обратную связь и живой отклик. Первый живой эфир пройдет уже послезавтра в 19:00 мск. Презентация у меня уже готова, остались последние штрихи по дизайну 😉
ОФЗ под 17%, Яндекс под ударом, недвижимость со скидкой. Что делать с деньгами в октябре?
Октябрь выдался насыщенным: акции пытаются расти, облигации подешевели, золото откатилось, а вокруг Яндекса — тревожные новости. На фоне такой картины очень легко перенервничать и наделать лишнего в портфеле.
Поэтому в новом выпуске подкаста Дмитрий Родионов разбирает, что на самом деле происходит на рынках и на что инвестору с…
Три бесплатных урока по пассивному доходу — доступ уже открыт 🔥
Записал для вас короткие, но емкие уроки с базой по пассивному доходу. Закончил буквально на прошлой неделе — информация свежая, актуальная.
Из уроков вы узнаете, как устроена инвест-зарплата в конце 2026-го года: на что можно опереться, а что лучше пересобрать.
Почему их важно посмотреть до эфиров? Все просто. 21, 22 и 23 октября я хочу говорить с ва…
2 000 мест на эфиры 21-23 октября заняты 🔥
Первоначально мы предусмотрели 2 тысячи мест. Но интерес к программе оказался выше наших ожиданий.
Поэтому мы пересмотрели технические возможности проведения вебинаров и смогли временно увеличить количество участников.
Пока сервера нам позволяют это сделать (а работает все с перебоями), не откладывайте и регистрируйтесь на дополнительные места.
🔗 Зарегистрироваться
👍2🔥2😁1
Showing the 12 most recent of 52 posts we hold for @tolstyakov_mpk. 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.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Толстяков | Старт в крипте” (@tolstyakov_mpk), 12,486 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/tolstyakov_mpk.
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.