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 10 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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.
Views per post sit far below this size band
70.5 average views per post against 21,466 subscribers — an engagement rate of 0.329%. Across the 23,718 registered channels in the same cohort — 10,000–31,622 subscribers, posting mainly in Russian — the middle half sit between 5.44% and 21.5%, with a median of 11.0%.
What this was computed from
Window
30 days (12 August 2026 – 11 September 2026)
Posts measured
24 of 24 published in the window (24 exact, 0 rounded by Telegram)
Views totalled
1,693
Mature posts only
0.361% over 21 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 11 September 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
19 measurements spanning 25 days, net -875. 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 21,124–22,261 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 13:58
21,255
-50
13 Sept 2026, 19:38
21,305
-74
11 Sept 2026, 22:00
21,379
-87
9 Sept 2026, 11:38
21,466
-136
6 Sept 2026, 04:17
21,602
-105
3 Sept 2026, 21:40
21,707
-36
2 Sept 2026, 10:33
21,743
-29
1 Sept 2026, 13:13
21,772
-27
31 Aug 2026, 13:24
21,799
-31
30 Aug 2026, 16:55
21,830
-54
29 Aug 2026, 13:28
21,884
-33
28 Aug 2026, 13:43
21,917
-30
27 Aug 2026, 16:15
21,947
-22
26 Aug 2026, 15:27
21,969
-34
25 Aug 2026, 17:22
22,003
-31
24 Aug 2026, 17:47
22,034
-35
23 Aug 2026, 02:36
22,069
-61
21 Aug 2026, 19:53
22,130
no change
21 Aug 2026, 19:45
22,130
first reading
Engagement
38 posts held, back to 29 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 26 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.289%
avg views ÷ 21,255 subscribers
Avg views / post
61.3
21 posts measured
Reaction rate
2.33%
reactions ÷ views · ER floor
Posts in window
21
of 38 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 14 of 21 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 3 September 2026
Posts held
38 (29 July 2026 – 3 September 2026)
Views total
1,288
Reactions total
23
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 13:35 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
2m 36s
Average length
52s
Measured directly from 3 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
37 reactions across 26 posts, in 7 distinct kinds. The most used accounts for 73.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
73.0%
👀
4
10.8%
🤣
2
5.41%
🌚
1
2.70%
🎉
1
2.70%
💯
1
2.70%
🤔
1
2.70%
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 26 of the 38 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 37 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 29 July 2026 to 3 September 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.
🇷🇺 Цифровой рубль (CBDC) может стоить банкам ₽100 млрд комиссий в год
Внедрение цифрового рубля может привести к потере более 100 млрд рублей комиссионных доходов банков ежегодно, пишет «Коммерсантъ» со ссылкой на исследование НРА. Основной удар придется по эквайрингу: часть платежей уйдет с карт на платформу Банка России.
По оценке НРА, такие потери возможны, если цифровой рубль займет около 14% безналичных расчет…
🔥 На Tether подали в суд за блокировку USDT на $42,4 млн
Два тайских бизнесмена подали иск в федеральный суд США против Tether, заявляя, что эмитент USDT незаконно заморозил их средства, а также внес их кошельки в «черный список» в октябре 2025 года на основании неформального запроса правоохранительных органов. В список вошли 10 адресов в сети Ethereum c общим балансом чуть больше $42 миллионов.
При этом, официальн…
🔨🇷🇺 В РФ Челябинский гарнизонный военный суд оштрафовал военнослужащего на ₽100 тыс (~$1,2 тыс) за передачу двух банковских карт человеку, занимавшемуся обналичиванием средств от деятельности нелегальных iGaming-операторов
🔍 По данным суда, фигурант получил вознаграждение в размере ₽10 тыс за передачу банковских карт с полным доступом к личным кабинетам для последующего проведения через них операций по уходу от нало…
В России готовят масштабную легализацию криптообменников
В Москве прошел съезд участников рынка, на котором создали Ассоциацию организаций по обмену цифровой валюты. В будущем эта структура рассчитывает получить статус саморегулируемой организации и управлять работой криптообменников по правилам Центробанка.
С 1 сентября вступил в силу закон
№ 282-ФЗ. Теперь компании с оборотом от 3,5 млн рублей в месяц должны имет…
А чего там с тоном? Наблюдаете еще за проектами? Были заработки?
Да, чутка заработали57%
Нет, все умерло57%
The shares total 114%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
❌ Россия🇷🇺: легальный крипторынок может стать «рынком крашенной крипты»
Мысль не нова, и Кочетков из “Финама” не первый, кто её озвучивает… Но нам с этим как-то надо жить, и чёткое понимание специфики — что-то вроде спасательного круга.
🔤 Напомним, что “мечеными” или “крашеными” становятся цифровые активы, которые прошли через адреса или площадки, попавшие под международные санкции.
❌Для иностранных контрагенто…
➡️ Telegram закладывает основу для массового криптоперехода
Павел Дуров объявил о начале запуска некастодиального криптокошелька Gram Wallet прямо внутри Telegram.
Сейчас функция доступна тестовой группе пользователей, но в ближайшие недели её раскатают на всю аудиторию — а это более 1 миллиарда человек.
🟢 Главная фишка Gram Wallet — он некастодиальный. Это значит, что приватные ключи хранятся только у пользовате…
1 сентября двадцать два системно значимых банка – Сбер, Альфа, Т-Банк и другие обязаны открывать кошельки для размещения цифрового рубля всем желающим
Торговые компании с выручкой от 120 млн рублей обязаны принимать по нему оплату. Всё серьезно, по-государственному.
Одна деталь: счет в цифровых рублях открывается через банковское приложение. А приложения российских банков из App Store удалены. Обновления и новые ве…
Showing the 12 most recent of 38 posts we hold for @RiskSeeker. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
А чего там с тоном? Наблюдаете еще за проектами? Были заработки?
Да, чутка заработали57%
Нет, все умерло57%
The shares total 114%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 38 most recent posts we hold, published 29 July 2026 to 3 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
Русский TON @ruton · 128,568 Telegram ranks this channel #10 of 58 here — alongside 57 others — read 30 August 2026
Crypto Vampire @Crypto_newswallet · 43,173 Telegram ranks this channel #13 of 64 here — alongside 63 others — read 28 August 2026
CLT_News @starstonchain · 93,644 Telegram ranks this channel #17 of 56 here — alongside 55 others — read 21 August 2026
Дело в TON @delo_vton · 47,926 Telegram ranks this channel #37 of 64 here — alongside 63 others — read 27 August 2026
Хомяк с TON’а @homyak_s_tona · 24,710 Telegram ranks this channel #44 of 78 here — alongside 77 others — read 15 September 2026
Технологии и ChatGPT @picardia_ecosystem · 355,788 Telegram ranks this channel #44 of 77 here — alongside 76 others — read 25 August 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Risky Ventures hub” (@RiskSeeker), 21,255 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/RiskSeeker.
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.