Telegram RegisterThe public register of Telegram

Channel

BESSEC

@bessec

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4,709subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001632241727
TypeChannel
Username@bessec
Created21 June 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/bessec

Growth

4,7074,7104,708.56 August 2026 — 4,710 subscribers7 August 2026 — 4,710 subscribers10 August 2026 — 4,707 subscribers13 August 2026 — 4,709 subscribers4,7096 August 202613 August 2026
4 measurements spanning 7 days, net -1. 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 4,707–4,710 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:344,709+2
10 Aug 2026, 08:504,707-3
7 Aug 2026, 06:124,710no change
6 Aug 2026, 08:374,710first reading

Engagement

16 posts held, back to 27 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.9%
avg views ÷ 4,709 subscribers
Avg views / post
935
15 posts measured
Reaction rate
0.92%
reactions ÷ views · ER floor
Posts in window
16
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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held16 (27 July 202611 August 2026)
Views total14,025
Reactions total129
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:28 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 09s
Average length
1m 09s

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

129 reactions across 15 posts, in 13 distinct kinds. The most used accounts for 27.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3627.9%
👍2217.1%
😁1914.7%
1713.2%
custom 5386587088873331829107.75%
custom 577361619116779632564.65%
🍓53.88%
custom 534171547388295531043.10%
💅32.33%
custom 518848127996371578121.55%
👎21.55%
🤬21.55%
😱10.775%

Custom emoji. 4 of the rows above are 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 areTelegram’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 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 129reactions 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 27 July 2026 to 11 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.

Recent posts

11 Aug 2026, 12:53 UTC298 views5 reactionsread 12 August 2026

🔖Обзор НПА ИТ&ИБ июль 2026 Эксперты «КИТ» подготовили очередной обзор изменений законодательства ИТ&ИБ. Помимо анализа самих НПА, обзор содержит рекомендации по действиям для компаний🔄 В обзоре: 📑ФЗ о поддержке развития ИИ 📑Новый состав мер по защите ПДн 📑Намеки на изменения в 187-ФЗ 📑Трансграничная передача ПДн 📑ТК 362 📑И другое 🙂 Приятного чтения! 🥸 Предыдущие обзоры по хэштегу #обзорзаконодательства@bessec 👴

👍31🔥1

11 Aug 2026, 07:47 UTC414 views5 reactionsread 12 August 2026

Акселератор ИБ-стартапов🔅 💼 Фонд развития интернет-инициатив (ФРИИ) и компания в сфере информационной безопасности (ИБ) Metascan осенью запустят акселератор для российских проектов в сфере информационной безопасности. До конца года планируют закрыть до семи сделок. Инициатива реализуется в рамках совместного фонда объемом 600 млн руб., созданного в июле 2026 года – ФРИИ и Metascan вложили в него по 50%. Стартапы с

2🔥2custom 51884812799637157811

10 Aug 2026, 09:52 UTC683 views13 reactionsread 12 August 2026
Photo

Современные реалии на рынке труда #meme #career 👴 BESSEC | 🔴 MAX

😁7💅2🔥2🤬2

10 Aug 2026, 05:45 UTC576 views3 reactionsread 12 August 2026

Осталось всего ничего, успевай!) 🎁

3

6 Aug 2026, 05:52 UTC929 views9 reactionsread 12 August 2026
Photo

Киберстрахование — это вообще работает?💵 Я, честно, сам до конца не понимаю, как у нас оно работает. С одной стороны, страховку в IT и кибербезе обсуждают на каждом углу 💻 Кто-то уже заложил ее в бюджет, кто-то косится, а кто-то откровенно машет рукой: «Подумаешь, нас и так не взломают». При этом киберстраховка в России откровенно еще тема в новинку. У каждого, кому ее предлагают есть логичные вопросы: ⚫️Покроет ли

4👍4🔥1

5 Aug 2026, 03:14 UTC996 views14 reactionsread 12 August 2026
Video

когда получил Call for Papers от SOC Forum-2026 и увидел, что главной темой конференции будет ИИ #meme 👴 BESSEC | 🔴 MAX

😁9🔥3👎2

4 Aug 2026, 07:51 UTC865 views12 reactionsread 12 August 2026
Photo

🌄 Код ИБ ПРОФИ — выездной интенсив по кибербезопасности в формате «три дня учебы, три дня приключений». 🗓 9-13 сентября 2026 📍 Сочи, курорт «Роза Хутор» Что ждет участников? • Практические мастер-классы от CISO Сбербанка, Яндекса, VK, Билайна, Озон Банка, Райффайзенбанка и других ведущих компаний. Эксперты разберут реальные кейсы и подходы, которые редко обсуждаются публично. • Киберучения в штабе и на киберполиг

🔥53👍3custom 57736161911677963251

3 Aug 2026, 09:22 UTC≈1,140 views10 reactionsread 12 August 2026
File

SBER Model Threat AI 2.0🔘 Сбер выпустил вторую версию модели угроз AI🔶 Ключевые особенности: 1️⃣ Разделение угроз и способов их реализации 2️⃣ Привязка к цепочке атаки MITRE ATLAS 3️⃣ Детализация нарушителей 4️⃣ Расширенный перечень объектов защиты (системные промпты, LLM-адаптеры, память и кэш AI-агентов и т.д.) В документе представлены 37 угроз и 51 способ их реализации #sber #AI 👴 BESSEC | ⭐️ Sputnik | 🔴 MAX

🔥6🍓2👍1😁1

2 Aug 2026, 15:36 UTC≈1,680 views9 reactionsread 12 August 2026
File

Group-IB: Inside Europe's Manufacturing Cyber Threat Landscape #отчет описывает целостный ландшафт киберугроз для производителей в шести европейских экономиках (Германия, Франция, Италия, Испания, Нидерланды, Великобритания) за 2025 год и начало 2026‑го. Cуществует критический разрыв между тем, где начинаются атаки (интернет‑фейсинг IT, VPN, ERP, цепочка поставок) и тем, где сосредоточены усилия по защите (внутренн

👍5custom 534171547388295531021😱1

31 Jul 2026, 02:51 UTC≈1,040 views14 reactionsread 12 August 2026
Photo

Летний розыгрыш!😎 Призы: 1️⃣Информационная безопасность. Анализ и оценка угроз. РБПО (А.Кузнецов) 2️⃣Призрак в сети (К.Митник) 3️⃣Взломать все (Б.Шнаер) 4️⃣Кибербезопасность: главные принципы (Р.Ховард) 5️⃣Кибербезопасность: стратегии атак и обороны (Ю.Диогенес, Э.Озкайя) Условия: 1️⃣Быть подписанным на канал 2️⃣Нажать кнопку «Участвую» 🗓 Итоги 19.08 📍 Доставка по РФ

🔥8custom 577361619116779632551

30 Jul 2026, 06:56 UTC≈1,270 views13 reactionsread 12 August 2026
Photo

«Яна Цист и Ясасу Бибу». HR поймал айтишника в ловушку. #meme 👴 BESSEC | 🔴 MAX

custom 538658708887333182910💅1🔥1😁1

30 Jul 2026, 03:06 UTC≈1,010 views4 reactionsread 12 August 2026

#Дайджест@bessec за месяц📌 За последний месяц было много постов, возможно, Товарищ, ты пропустил что-то полезное и интересное для себя: 👴 Как меня отфишить хотели... 👴 Матрица. Чебурнет. Полный фильм 👴 Преза. ROI в ИБ. Верните деньги 👴 Обзор НПА ИТ&ИБ июнь 2026 👴 17й выпуск SBER Privacy Journal 👴 Подкаст про анонимность в сети 👴 Стратсессия субъекта КИИ 👴 Преза. Госконтроль КИИ (кто что как зачем и когда) 👴

🍓2👍2

Showing the 12 most recent of 16 posts we hold for @bessec. 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.

Citation-graph rank

Citation-graph rank — 95,579 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 6 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“BESSEC” (@bessec), 4,709 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/bessec.

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.