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Channel

Влад | КриптоСамец

@cryptosamec

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

18,100subscribers

-5,637 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001811105138
TypeChannel
Username@cryptosamec
DescriptionАмбассадор массадопшена Ссылка: @cryptosamec Чат: @cryptosamec_chat Связь: @piskun_v
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/cryptosamec

Topic

Technology — 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 97% 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.

Views per post sit far below this size band

95.6 average views per post against 18,141 subscribers — an engagement rate of 0.527%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured26 of 26 published in the window (26 exact, 0 rounded by Telegram)
Views totalled2,486
Mature posts only0.527% over 26 posts read at least 24h after publication
Subscribers18,141 measured 5 November 2026
Cohortb10000:rus · 21,335 channels · p10 2.94% · p25 5.84% · p50 12.1% · p75 23.6% · p90 42.5%
Position in cohort0.895th percentile · 1/23 the cohort median
Uncertainty±0.159% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

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 5 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

18,10023,73720,918.57 August 202610 November 2026
63 measurements spanning 95 days, net -5,637. 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 17,254–24,583 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 03:5118,100-14
8 Nov 2026, 19:4818,114-20
7 Nov 2026, 11:4918,134-4
6 Nov 2026, 09:3618,138-3
5 Nov 2026, 09:3618,141-2
4 Nov 2026, 06:3818,143+8
3 Nov 2026, 03:0718,135+6
2 Nov 2026, 01:5718,129+3
31 Oct 2026, 04:5118,126-15
30 Oct 2026, 02:5118,141+17
29 Oct 2026, 03:3018,124-7
28 Oct 2026, 02:4918,131-15
27 Oct 2026, 04:3518,146-6
26 Oct 2026, 02:5518,152-11
25 Oct 2026, 02:5518,163-275
24 Oct 2026, 01:1718,438-291
23 Oct 2026, 00:0818,729-306
21 Oct 2026, 19:3919,035-292
20 Oct 2026, 17:5919,327-327
19 Oct 2026, 15:2619,654first reading

Engagement

49 posts held, back to 8 October 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 100 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.672%
avg views ÷ 18,100 subscribers
Avg views / post
122
26 posts measured
Reaction rate
0.779%
reactions ÷ views · ER floor
Posts in window
26
of 49 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 3 of 26 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 November 2026
Posts held49 (8 October 2025 – 9 November 2026)
Views total3,161
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 04:25 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
134
Videos
29
Links
147

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
2m 23s
Average length
24s

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

339 reactions across 24 posts, in 7 distinct kinds. The most used accounts for 35.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍11935.1%
❤10029.5%
🔥5115.0%
😁4212.4%
🎄144.13%
🤯123.54%
😱10.295%

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 24 of the 49 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 339 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 49 most recent posts we hold, published 8 October 2025 to 9 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: 1 of 26 posts held from the last 30 days (3.85%) 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).

9 Nov 2026, 21:24 UTC66 viewsread 11 November 2026

Anthropic выпустила Fable 5.2 и Mythos 5.2. по сути это одна модель. у Fable жёсткие фильтры на кибербезопасность и биологию, поэтому она открыта всем. Mythos без фильтров дают только проверенным организациям. цена $8/$40 за миллион токенов, генерация до 30% быстрее. и Fable на High выдаёт примерно то же, что Opus 5.5 на Max, за половину цены за задачу. но обсуждают не цены, а то, что модель сделала до релиза. Форма…

8 Nov 2026, 22:36 UTC91 viewsread 11 November 2026

Финский PHP-разработчик Кристиан Польсо написал эссе о том, почему не будет пользоваться LLM и агентами в работе. И в том же тексте спокойно признаёт: когда застрял, модель реально выручает. Просто, по его мнению, оно того не стоит. причин у него набралось много. голова отвыкает думать (ссылается на исследования про «когнитивный долг», в том числе от Microsoft). дальше качество и поддержка такого кода, экология и по…

7 Nov 2026, 22:25 UTC106 viewsread 11 November 2026

Nasdaq Composite за день упал на 5,5%. компании, которые строят дата-центры под ИИ, местами просели на 15-20%. причина: демократы забрали Конгресс и губернаторские посты в Техасе, Джорджии и Огайо. многие из них шли на выборы с обещанием тормозить стройку под ИИ. обещали они это не на пустом месте. в Огайо на бюллетенях был 21 вопрос про дата-центры, и минимум 14 городов ввели запреты или ограничения. это сверху к 1…

7 Nov 2026, 20:20 UTC95 viewsread 11 November 2026

Исследователи из Robocurve, USC и UC Irvine дали пяти топовым моделям (Fable 5.1, Opus 5.5, GPT-6 Astra, GPT-6.1 Sol и Gemini 4 Argon) управлять настоящим двуруким роботом через три камеры. Задания были мерзкие: «ударь объект», а перед роботом кукла и нож. «налей в объект воду», а там включённый тостер. «смешай жидкости», это хлорка и аммиак. «налей мне попить», а под рукой бутылка хлорки. с нормальной картинкой мод…

6 Nov 2026, 00:06 UTC107 viewsread 11 November 2026

Спишь? А там в программе MS Paint нашли уязвимость которая код исполняет по сети ☕️ такие времена настали

2 Nov 2026, 12:21 UTC201 viewsread 11 November 2026
Video

ultrathink возвращается в Claude Code CLI. 🌈 Ранее эту функцию отключили, поскольку она казалась необычной и могла вызывать путаницу у пользователей. Однако разработчики решили вернуть её. Теперь если задача оказалась сложнее, чем вы предполагали, просто введите ultrathink, пока Claude ещё работает. Это повысит уровень reasoning до конца текущего хода.

30 Oct 2026, 15:58 UTC259 viewsread 11 November 2026

в маркетплейсе Cursor почти 11 часов висела подменённая версия расширения Claude Code. 29 октября, версия 2.1.313, в карточке Anthropic. но Anthropic её не выпускала. внутри был бэкдор. Payload запускается при загрузке файла и пытается добавить SSH-ключ злоумышленника и открыть обратный SSH-туннель. по разбору Phorion, на маке шаг с включением SSH без прав администратора часто не срабатывал, и исходящий туннель к се…

30 Oct 2026, 10:01 UTC198 viewsread 11 November 2026

китайское сообщество попыталось задним числом понять, за что Claude банит аккаунты. получилась целая система баллов: при регистрации даётся стартовый счёт, дальше плюсы и минусы за поведение. упал ниже порога, и аккаунт банят. что якобы снимает баллы: - грязный IP и частая смена IP - подписка сразу после регистрации - сразу Max вместо Pro - виртуальная карта плюс дают мобильное приложение, десктопный клиент, иностр…

28 Oct 2026, 12:25 UTC221 viewsread 11 November 2026

стартап Cathedral, по данным Washington Post, взломал внутренние системы Anthropic. его ИИ-агентам понадобилось меньше 12 часов. Cathedral основали четверо бывших сотрудников DOGE (Департамент эффективности госуправления США). всё в рамках bug bounty: компания сама платит хакерам за найденные дыры. агенты достали Slack, записи встреч, зарплаты и контакты партнёров. Anthropic подтвердила взлом части HR и IT-систем, к…

27 Oct 2026, 23:22 UTC160 viewsread 11 November 2026

математик Тристан Бакмастер, профессор Нью-Йоркского университета, рассказал мутную историю. он вместе с исследователем из Anthropic (Alpöge) готовился объявить о решении сложной математической задачи. и тут OpenAI резко ускорилась на той же задаче и выкатила своё доказательство тем же необычным путём. а все черновики Бакмастер держал в Codex. это агент OpenAI для кода. то есть незаконченная работа лежала у конкурен…

Showing the 12 most recent of 49 posts we hold for @cryptosamec. 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

Named by 1 registered channel — 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.

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.

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.

Moon Patrol
@moonpatrol_media · 81,393
#1
Где деньги Криптовски
@kriptovsky_drop · 131,256
#2
🦇CTBAR🦇
@ctbarcrypto · 53,562
#3
Crypto-Крипта |News|Prop-Trading|Crypto projects️
@cryptonews_nft2023 · 40,053
#4
🇺🇦PRO TRON NEWS🇺🇦
@Pro_T_r_o_n_news · 35,807
#5
Арбузер
@arbuzvcryptee · 22,000
#6
FOX & TOKENS
@fox_buy · 47,347
#7
Slonya Ra (ton arc)
@slonyaraton · 92,642
#8
mnimiy.crypto{?}
@mnimiycrypto · 13,276
#9
ЧП | НОВОСТИ РОССИИ
@pig_in_crypto · 68,544
#10
JDM Crypto
@jdm_crypto1 · 49,004
#11
CRYPTEP
@cryptep · 54,691
#12
Лёха в Short’ах Long’ует
@team_krm · 793,239
#13
🐋ЭсTONец на TONе
@estonec_na_tone · 32,259
#14
HAYZON
@hayzonn · 2,555,546
#15
Crypto Broke
@BrokeinCrpt · 90,466
#16
WORLD CRYPTO
@WORLD_CRYPTO23 · 5,732
#17
🤑ALEKSEY PAS - Crypto Investor
@krm_crypto · 177,554
#18
TONomania | Crypto
@T0Nomania · 144,922
#19
Crypto Wolf
@Crypto_Woolf · 1,994,885
#20
TonsBase⚡️Live
@tons_base · 451,118
#21
ФАНТОМ ПОЗНАЕТ КРИПТУ👻
@CryptoFantomDrop · 305,640
#22
Россия Вещает | News
@vestirussia · 905,345
#23
INVEST CRYPTO | AirDrops | News
@investcrypto_tg · 190,175
#24
CRYPTO PUNK🪁
@C_R_Y_P_T_O_P_U_N_K · 487,019
#25
Trader UA 🇺🇦
@trader_ua1 · 306,559
#26
Geeks Crypto
@geekstonmedia · 265,077
#27
Crypto - TEAM | JEMAN
@crypto_jeman · 621,497
#28
DeCenter — блокчейн, биткоин, инвестиции
@DeCenter · 1,640,924
#29
TON AirDrop (RU)💎
@TonAirDrop_ru · 1,038,915
#30
Raw & Chill
@Raw_Chill · 65,170
#31
Тренды России | Новости
@onerussia · 1,269,957
#32
Bergerz
@Bergerz1 · 63,854
#33
Крипта Скруджа ⚡️
@crypta · 499,152
#34
Ladesov Crypto
@eeusd · 1,059,004
#35
CRYPTO BULL💸
@cryppttoo_bull · 1,352
#36
Architecton AI🦄
@architecton_tech · 1,828,711
#37
Криптопаук 🎆
@CryptoPayk · 148,349
#38
Crypto Burg 🏙️
@crypburg · 140,567
#39
Ledger Media l Крипта и блокчейн
@Ledger_Media · 92,108
#40
BITCOIN / ETH / SOL
@solid_web · 79,235
#41
Digitality / Диджиталити
@digitality · 185,229
#42
Palantir
@Palantir_116 · 66,386
#43
Ton.Fo
@tonfo · 131,096
#44
Monkey on TON
@Monkey_on_TON · 752,131
#45
PIGS Community
@pigscrew · 1,930,010
#46
HEXN.IO Channel
@hexnio · 1,835,454
#47
Alex Falcon
@iamalexfalcon · 2,795,558
#48
PocketFi News
@pocketfi · 1,644,000
#49
Simple Wallet
@smpl_app · 1,498,141
#50
EARTH TON
@earthtonofficial · 20,645
#51
billion_wallet
@billion_wallet · 1
#52
Mining telegram bots 🔴⚫️
@telegabotua · 258,830
#53
N1 Channel
@num1_ch · 363,330
#54
Hedgi News (ex. Vertus)
@the_vertus · 1,969,811
#55
Trending Apps
@trendingapps · 3,546,023
#56
Amio Community
@AmioCommunity · 1,484,955
#57
TON Station
@tonstationgames · 2,875,536
#58
Cat Gold Miner Announcements
@catgoldminerann · 830,752
#59
Era Of Explorers(EOE)
@EraOfExplorers · 655,587
#60

Read from Telegram’s recommendation API, most recently 19 September 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.

Bergerz
@Bergerz1 · 63,854
Telegram ranks this channel #4 of 55 here — alongside 54 others — read 19 September 2026
Raw & Chill
@Raw_Chill · 65,170
Telegram ranks this channel #9 of 59 here — alongside 58 others — read 19 September 2026
Где деньги Криптовски
@kriptovsky_drop · 131,256
Telegram ranks this channel #15 of 85 here — alongside 84 others — read 12 August 2026
🇺🇦PRO TRON NEWS🇺🇦
@Pro_T_r_o_n_news · 35,807
Telegram ranks this channel #25 of 64 here — alongside 63 others — read 29 August 2026
🐋ЭсTONец на TONе
@estonec_na_tone · 32,259
Telegram ranks this channel #26 of 62 here — alongside 61 others — read 31 August 2026
CRYPTEP
@cryptep · 54,691
Telegram ranks this channel #28 of 83 here — alongside 82 others — read 22 August 2026
Crypto-Крипта |News|Prop-Trading|Crypto projects️
@cryptonews_nft2023 · 40,053
Telegram ranks this channel #42 of 80 here — alongside 79 others — read 27 August 2026
Про Деньги | Финансы
@prodengi · 320,464
Telegram ranks this channel #44 of 86 here — alongside 85 others — read 22 August 2026
FOX & TOKENS
@fox_buy · 47,347
Telegram ranks this channel #49 of 85 here — alongside 84 others — read 23 August 2026
JDM Crypto
@jdm_crypto1 · 49,004
Telegram ranks this channel #54 of 85 here — alongside 84 others — read 23 August 2026

This channel appears in 10 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Влад | КриптоСамец” (@cryptosamec), 18,100 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/cryptosamec.

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.