3 measurements spanning 4 days, net -2. 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 1,456–1,458 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 18:32
1,456
-2
7 Aug 2026, 22:01
1,458
no change
7 Aug 2026, 15:01
1,458
first reading
Engagement
16 posts held, back to 19 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.94%
avg views ÷ 1,456 subscribers
Avg views / post
101
2 posts measured
Reaction rate
4.95%
reactions ÷ views · ER floor
Posts in window
2
of 16 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 6 August 2026
Posts held
16 (19 August 2025 – 6 August 2026)
Views total
202
Reactions total
10
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 22:01 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 46s
Average length
48s
Measured directly from 6 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
75 reactions across 15 posts, in 4 distinct kinds. The most used accounts for 46.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
35
46.7%
🔥
31
41.3%
❤
6
8.00%
👏
3
4.00%
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 15 of the 16 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 75reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 19 August 2025 to 6 August 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
1
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @amlcryptonews. 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 16 most recent posts we hold for this entry, published 19 August 2025 to 6 August 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.
Украл $500 000, сразу потерял $372 000. Готовы помочь вернуть - после верификации KYC 😆
Сегодня на Base жертву фишинга лишили 501 940 USDC.
Транзакция хищения: 0xd2324b49161b53218651eae2852f8684fa68015cfcada94e5c0ad14030fc62ba
Кошелёк атакующего: 0x920d3b63541eAFe13E05dc4f3453904102c39708
Дальше атакующий пошёл конвертировать украденное в ETH - и подошёл к делу ответственно. Сначала тестовый обмен: отдал 0.01 ETH, …
Средства по инциденту ChainConnect возвращены
Что произошло
26 июля 2026 года мост ChainConnect (chainconnect.com) был скомпрометирован. Операции моста были остановлены немедленно.
С контрактов моста вывели около $650 000 в 23 транзакциях в четырёх сетях: Ethereum, BNB Smart Chain, Avalanche C-Chain и Polygon.
Атакующий провёл свопы похищенного в нативные токены каждой сети и консолидировал весь объём в ETH на адр…
Скамеры против хакера
11 июля 2026 взломали Bonzo Finance (Hedera): через уязвимость оракула Supra злоумышленник подделал цену SAUCE и вывел ~$9 млн. Средства обменяны в ETH и ушли в Tornado Cash - распутыванием миксера занимаемся, расскажем отдельно.
Но пока мы следили за адресами хакера на графе, вокруг них началась своя движуха - к взлому она отношения не имеет, зато отлично показывает, как работает еще одна схе…
Разбираем по шагам: хронология атаки на Hinkal
Этап 0. Он-чейн-подготовка
07-01 09:35:59 - тестовый прогон Tornado Cash за сутки до инцидента
07-02 19:02:11 - обмен ZEC → ETH через Vizor.cash (0.26 ETH, ≈$436) - фондирование адресов для тестов и атаки
07-02 19:05:11 - обмен ETH → USDC через OKX DEX для тестирования уязвимости Hinkal
Этап 1. Реализация
07-02 19:56–22:21 - финальное тестирование уязвимости
07-02 21:4…
Приватность без доказательства: как взломали Hinkal
2 июля privacy-протокол Hinkal потерял ~$797K из-за ошибки в логике смарт-контракта - сценария «proofless deposit»: депозит засчитался без валидного zero-knowledge-доказательства, после чего последовала серия выводов USDC. Сломан оказался сам механизм доказательства, на котором держится приватность протокола.
Затем средства прошли через набор privacy-инструментов …
🔖 Можно ли вернуть украденные миллиарды?
В этом выпуске мы погружаемся в суровые реалии крипторынка 2026 года. В гостях — Владимир Лазарев, сооснователь AML Crypto. Мы обсудим, почему анонимность в блокчейне — это миф, как ваши транзакции рисуют ваш «финансовый портрет» для аналитических сервисов, почему полиция неохотно берется за криптопреступления и как на самом деле выглядит «цифровая гигиена» в 2026 году?
👀 С…
Очень интересный и отточенный доклад «Путь из крипты в фиат: риски, происхождение средств и крипто-комплаенс» представил Владимир Лазарев, сооснователь AML Crypto. Что вызвало очень широкий отклик участников.
@SDLinfo
🔖 Записали подкаст с сооснователем AMLcrypto.io
Обсудили много интересного: «внутрянки» громких взломов, как проходят крипто расследования в блокчейне и теоретическое будущее, где за каждым DeFi-кошельком будет присматривать ваш личный куратор.
👉 Legal Crypto
В AML Crypto мы сопровождаем клиента, пострадавшего от криптомошенников, на всём пути — от подачи заявления в правоохранительные органы до возврата украденных средств. Готовим аналитический отчёт по трейсингу транзакций, разрабатываем корректные запросы, консультируем следователей, взаимодействуем с биржами и эмитентами для блокировки активов. При необходимости инициируем переговоры со злоумышленниками и размечаем их…
Возврат криптоактивов: что говорит закон в России и СНГ
🔹 AML Crypto совместно с Buzko Krasnov подготовили разбор юридических аспектов защиты прав криптопользователей.
💡 Далеко не каждый пострадавший от криптомошенников понимает, как именно квалифицируется криптовалюта в законодательстве и какие статьи УК применяются при её хищении.
В России криптовалюта рассматривается как имущество, а квалификация зависит от спо…
Первый шаг к возврату ваших средств — юридически выверенное заявление в правоохранительные органы
P.S. Скоро мы опубликуем пример разобранного заявления в правоохранительные органы.
🛡 AMLcrypto.io | ✔ TG - Бот | 💬 Cвязаться
🔥4👍2
Showing the 12 most recent of 16 posts we hold for @amlcryptonews. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“AML Crypto: все о крипто преступлениях” (@amlcryptonews), 1,456 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/amlcryptonews.
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.