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 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Growth
33 measurements spanning 43 days, net +202. 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 10,980–11,242 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 11:19
11,212
+9
16 Sept 2026, 04:58
11,203
+16
14 Sept 2026, 13:17
11,187
+4
12 Sept 2026, 21:17
11,183
+3
10 Sept 2026, 19:22
11,180
+32
7 Sept 2026, 17:38
11,148
+11
4 Sept 2026, 19:37
11,137
+19
3 Sept 2026, 05:55
11,118
+6
1 Sept 2026, 21:36
11,112
+1
31 Aug 2026, 18:24
11,111
-1
30 Aug 2026, 16:58
11,112
-5
29 Aug 2026, 17:58
11,117
-1
28 Aug 2026, 20:25
11,118
+8
27 Aug 2026, 23:13
11,110
+12
26 Aug 2026, 19:54
11,098
+5
25 Aug 2026, 21:58
11,093
+7
24 Aug 2026, 19:35
11,086
+6
23 Aug 2026, 02:27
11,080
+6
21 Aug 2026, 12:07
11,074
+11
20 Aug 2026, 13:48
11,063
first reading
Engagement
72 posts held, back to 24 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 41 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.6%
avg views ÷ 11,212 subscribers
Avg views / post
1,530
14 posts measured
Reaction rate
1.27%
reactions ÷ views · ER floor
Posts in window
14
of 72 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 2 September 2026
Posts held
72 (24 July 2026 – 2 September 2026)
Views total
21,359
Reactions total
271
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:57 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
1m 57s
Average length
29s
Measured directly from 4 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
1,392 reactions across 63 posts, in 6 distinct kinds. The most used accounts for 26.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5361619121131757412
372
26.7%
custom 5361705815046627853
370
26.6%
custom 5249154096815957102
256
18.4%
custom 5361915297781521726
230
16.5%
custom 5472311840077785989
127
9.12%
custom 5319185106240306252
37
2.66%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 67 of the 72 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 1,483 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 72 most recent posts we hold, published 24 July 2026 to 2 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.
💸 Помогаем банкам безопасно подключиться к платформе цифрового рубля
Согласно 248-ФЗ с 1 сентября 2026 года вступает в силу закон о поэтапном внедрении цифрового рубля.
Чтобы подключение прошло в соответствии с требованиями Банка России, BI.ZONE GRC помогает подготовить инфраструктуру и необходимые процессы:
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Анализ IT-архитектуры, выявление несоответствий нормативным требованиям и план их устране…
🐟 9 из 10 почтовых угроз в первом полугодии 2026 года пришлись на фишинг
По данным BI.ZОNE Mail Security, фишинг составил 90% нелегитимного почтового трафика, годом ранее этот показатель был 80,7%.
Тренд наблюдался в большинстве отраслей.
🔵Здравоохранение — рост фишинга в 1,4 раза.
🔵Страхование — в 1,2 раза.
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При этом снизилась доля спуфинга и вредоносных вложений. Подробн…
💼 BI.ZONЕ GRC автоматизирует выполнение требований приказа ФСТЭК России № 117
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⚡️ Открыли библиотеку материалов по харденингу
Здесь будут храниться практические рекомендации, которые помогут повысить защищенность инфраструктуры, сократить поверхность атаки и устранить небезопасные настройки.
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Команда BI.ZОNE Digital Risk Protection фиксирует ежегодный всплеск мошеннической активности перед началом учебного года. Собрали семь схем, которые встречаются чаще всего:
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Мошенники взламывают аккаунты учителей или родителей и рассылают сообщения о срочных сборах на подарки, экскурсии и другие мероприятия. Также могут использовать поддельн…
💼 Помогаем компаниям адаптироваться к новой методике ФСТЭК России
ФСТЭК России опубликовала новую методику оценки зрелости технической защиты информации. Теперь важно оценивать не только отдельные меры защиты, но и то, насколько регулярно и управляемо работают связанные с ними процессы.
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📛 Мы заблокировали более 13,5 тысячи фишинговых доменов в первом полугодии 2026 года
Это на 73% меньше, чем за аналогичный период 2025 года. Злоумышленники стали реже создавать фишинговые сайты для массовой аудитории и делают ставку на более качественный и персонализированный контент.
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🔧 Как изменилось управление привилегированным доступом
На прошлой неделе в эфире AM Live обсудили с другими экспертами, как современные PAM-системы работают в распределенной, облачной и гибридной инфраструктуре.
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🔵Как PAM интегрируется с IAM, SIEM и другими системами без…
🔺 Обход фильтра десериализации в Log4j 2
В Log4j 2 обнаружен способ обойти allowlist в FilteredObjectInputStream. Проблема связана с java.rmi.MarshalledObject: этот класс разрешен фильтром, но содержимое объекта при распаковке может десериализоваться уже без дополнительной проверки.
Из-за этого сервисы, которые принимают по сети сериализованные LogEvent от недоверенных источников, могут быть уязвимы к небезопасной …
🚀 Комплексный подход к безопасности корпоративного VPN
Компрометация VPN может дать злоумышленнику сетевой доступ внутрь IT-инфраструктуры.
В новом материале покажем, как усилить защищенность VPN-инфраструктуры, и обсудим подходы к мониторингу аномалий с точки зрения SOC и threat hunting.
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➡️Читать статью
💬 Мы в MAX
💼 Обновили BI.ZONЕ GRC с учетом новых требований к категорированию ОКИИ
В новой версии:
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Учет объектов на основе новых отраслевых особенностей.
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Обновленные формы по приказу ФСТЭК России № 236.
🔵Расширенный инструментарий
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🔵Централизованное хранение
Единая база докумен…
Showing the 12 most recent of 72 posts we hold for @bizone_channel. 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
@bizone_channel edited 3 posts 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
12 August 2026
Most recent edit
28 August 2026
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Откуда злоумышленники берут «сырье» для утечек?19%
Как злоумышленники используют ИИ?20%
Пусть набьет тату61%
Shares as published. No per-option vote count is published by Telegram, so none is 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 72 most recent posts we hold, published 24 July 2026 to 2 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.
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 4 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.
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.
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.
Борьба с киберпреступностью | F6 @f6_cybersecurity · 22,323 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 21 September 2026
Утечки информации @dataleak · 119,401 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 14 August 2026
Positive Technologies @Positive_Technologies · 28,968 Telegram ranks this channel #4 of 87 here — alongside 86 others — read 9 September 2026
Positive Hack Days Media @positivehackmedia · 30,694 Telegram ranks this channel #4 of 88 here — alongside 87 others — read 6 September 2026
Пост Лукацкого @alukatsky · 37,862 Telegram ranks this channel #5 of 89 here — alongside 88 others — read 31 August 2026
Kaspersky @kasperskylab_ru · 28,858 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 9 September 2026
Пакет Безопасности @package_security · 33,106 Telegram ranks this channel #7 of 82 here — alongside 81 others — read 4 September 2026
Хакер — Xakep.RU @xakep_ru · 39,506 Telegram ranks this channel #7 of 83 here — alongside 82 others — read 30 August 2026
SecAtor @true_secator · 41,700 Telegram ranks this channel #7 of 78 here — alongside 77 others — read 29 August 2026
SecurityLab.ru @SecLabNews · 84,459 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 18 August 2026
CyberYozh @cyberyozh_official · 62,701 Telegram ranks this channel #13 of 81 here — alongside 80 others — read 21 August 2026
OSINT mindset @osint_mindset · 64,564 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 21 August 2026
IT и безопасность @tg_security · 26,613 Telegram ranks this channel #14 of 91 here — alongside 90 others — read 12 September 2026
Codeby @codeby_sec · 36,985 Telegram ranks this channel #14 of 76 here — alongside 75 others — read 1 September 2026
Investigation & Forensic TOOLS @forensictools · 22,368 Telegram ranks this channel #18 of 74 here — alongside 73 others — read 20 September 2026
Russian OSINT @Russian_OSINT · 47,701 Telegram ranks this channel #19 of 82 here — alongside 81 others — read 26 August 2026
Life-Hack - Хакер @haccking · 63,203 Telegram ranks this channel #20 of 85 here — alongside 84 others — read 21 August 2026
S.E.Reborn @S_E_Reborn · 22,374 Telegram ranks this channel #26 of 66 here — alongside 65 others — read 20 September 2026
Интернет-Розыск @irozysk · 45,953 Telegram ranks this channel #26 of 79 here — alongside 78 others — read 27 August 2026
infosec @it_secur · 61,761 Telegram ranks this channel #32 of 81 here — alongside 80 others — read 22 August 2026
infosecurity @tg_infosec · 26,786 Telegram ranks this channel #33 of 74 here — alongside 73 others — read 11 September 2026
Об ЭП и УЦ @ep_uc · 21,248 Telegram ranks this channel #36 of 97 here — alongside 96 others — read 24 September 2026
Этичный Хакер @hack_less · 229,400 Telegram ranks this channel #38 of 81 here — alongside 80 others — read 12 August 2026
Social Engineering @Social_engineering · 125,008 Telegram ranks this channel #40 of 82 here — alongside 81 others — read 13 August 2026
This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“BI.ZONE” (@bizone_channel), 11,212 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/bizone_channel.
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.