Telegram RegisterThe public register of Telegram

Channel

Forensic Audit

@forensicUK

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

301subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001908423998
TypeChannel
Username@forensicUK
Description🕵️‍♀️ 🔍 Информация со всего мира по борьбе с корпоративным мошенничеством. Значимость Форензик аудита в финансовой безопасности. Канал на узбекском: @forensicuz (71) 202-25-65 (94) 871-00-78
CreatedBetween 1 March 2023 and 30 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/forensicUK

Growth

3017 Aug 2026, 16:47 — 301 subscribers8 Aug 2026, 08:01 — 301 subscribers7 Aug 2026, 16:478 Aug 2026, 08:01
2 measurements taken within a single day. 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 300–302 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 08:01301no change
7 Aug 2026, 16:47301first reading

Engagement

19 posts held, back to 22 May 2026the 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
62.0%
avg views ÷ 301 subscribers
Avg views / post
187
6 posts measured
Reaction rate
2.31%
reactions ÷ views · ER floor
Posts in window
6
of 19 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 5 of 6 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 31 July 2026
Posts held19 (22 May 202631 July 2026)
Views total1,119
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 08:01 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

Photos
233
Videos
25
Links
169

Lifetime counters from Telegram’s own channel header, read 8 August 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
1m 48s
Average length
1m 48s

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

92 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 68.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6368.5%
🔥1819.6%
🏆44.35%
👏22.17%
😱22.17%
11.09%
🆒11.09%
👎11.09%

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 17 of the 19 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 92reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 22 May 2026 to 31 July 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

31 Jul 2026, 07:50 UTC124 views5 reactionsread 8 August 2026
Video

🔍 1 миллиард сумов изнутри компании: когда главный риск — собственный IT-специалист В Ташкенте правоохранительные органы сообщили о раскрытии хищения 1 миллиарда 43 миллионов 108 тысяч сумов, совершённого, по версии следствия, сотрудником IT-подразделения одной из компаний. Как следует из материалов дела, специалист, обладая доступом к внутренним информационным системам работодателя, разработал схему перевода дене

👍5

30 Jul 2026, 12:01 UTC98 views4 reactionsread 8 August 2026
Photo

Наркотики, Telegram и криптоактивы: в Узбекистане раскрыта схема с оборотом более 50 млн долларов США Правоохранительные органы Узбекистана сообщили о пресечении одной из крупнейших выявленных схем, связанной с незаконным оборотом наркотических и психотропных веществ, использованием криптоактивов и легализацией преступных доходов. По данным Генеральной прокуратуры, участники схемы использовали Telegram, подставные

👍4

30 Jul 2026, 05:50 UTC104 views3 reactionsread 8 August 2026
Photo

🌐 FATF: криптовалюты всё чаще используются организованной преступностью. Контроль будет усиливаться FATF опубликовала 7-й целевой отчет о внедрении международных стандартов в отношении виртуальных активов (Virtual Assets, VA) и поставщиков услуг виртуальных активов (VASP). Главный вывод отчета — несмотря на развитие регулирования криптоиндустрии, преступники продолжают активно использовать цифровые активы для мошен

👍3

28 Jul 2026, 06:04 UTC122 viewsread 8 August 2026
Photo

100 фиктивных заявок. $2 миллиона ущерба. 4 года тюрьмы. В США федеральный суд приговорил организатора мошеннической схемы к 4 годам лишения свободы за хищение более 2 миллионов долларов, выделенных государством на поддержку бизнеса во время пандемии COVID-19. Схема выглядела достаточно просто. Организатор находил желающих получить государственные деньги, готовил для них фиктивные документы, подавал заявления на л

22 Jul 2026, 05:29 UTC283 views4 reactionsread 8 August 2026
Photo

Когда доверие становится самым слабым элементом системы Во многих расследованиях мы сталкиваемся не с хорошо замаскированным мошенничеством, а с гораздо более простой причиной крупных потерь — отсутствием системы управления. Сценарий почти всегда одинаковый. Руководитель доверяет сотруднику управление кассой, складом, закупками, продажами или финансами. Годами все работает без серьезных вопросов. Документы подписы

👍4

17 Jul 2026, 17:27 UTC388 views7 reactionsread 8 August 2026
Photo

Самое слабое звено в команде — не тот, кто ошибается. А тот, кто всегда виноват не он. В форензике есть простое правило: если человек никогда не признает собственных ошибок, расследование можно начинать именно с него. Нет, потому что он обязательно мошенник. А потому что отсутствие личной ответственности — один из самых опасных организационных рисков. Такой сотрудник живет по одному сценарию: — руководство неправ

👍3🔥3👎1

9 Jul 2026, 09:24 UTC≈3,400 views7 reactionsread 8 August 2026
Photo

⚖ Коррупционные преступления: перечень закреплён законом, ответственность усилена Принят Закон Республики Узбекистан от 22 июня 2026 года № ЗРУ-1155 «О внесении дополнений и изменений в некоторые законодательные акты Республики Узбекистан, направленных на повышение эффективности борьбы с коррупцией и обеспечение неотвратимости ответственности за коррупционные преступления» 📌 Что изменилось? В Уголовный кодекс Респ

👍7

4 Jul 2026, 06:24 UTC213 views2 reactionsread 8 August 2026
Photo

👨‍💻🧾 QR-оплата и фискальный чек: почему это не одно и то же? Сегодня многие продавцы принимают оплату через QR-код. На практике важно понимать: сам факт оплаты через QR-код не всегда означает автоматическое формирование фискального чека. Есть два основных варианта QR-оплаты: статический и динамический QR-код. 🔳 Статический QR-код Продавец показывает покупателю распечатанный QR-код. Покупатель сканирует его через

👍1🔥1

27 Jun 2026, 06:21 UTC289 views1 reactionsread 8 August 2026
Photo

🚨 Человек на $3,7 миллиарда: история одного из крупнейших медицинских мошенничеств США В июне 2026 года американские власти сообщили о задержании и экстрадиции в США человека, которого следствие считает организатором одной из крупнейших схем мошенничества в истории программы Medicare — государственной системы медицинского страхования для пожилых граждан. Сумма, фигурирующая в материалах дела, поражает воображение —

1

22 Jun 2026, 13:10 UTC231 views5 reactionsread 8 August 2026
Photo

📚 Встреча, которая вдохновляет на развитие профессионального сообщества На днях в офисе Forensic Audit состоялась очень содержательная и полезная встреча с автором книги «Hisobdagi firibgarliklar» («Мошенничество в бухгалтерском учёте») — Иброхимом Ахмадхоновым. В ходе беседы мы обсудили перспективы развития форензик-аудита, финансовых расследований, профессионального образования, а также вопросы формирования совре

👍4🔥1

19 Jun 2026, 10:26 UTC280 views5 reactionsread 8 August 2026
Photo

📊 Мошенничество становится умнее. А ваши контрольные процедуры — тоже? Согласно новому исследованию ACFE Occupational Fraud 2026: A Report to the Nations, основанному на анализе 2 402 реальных случаев мошенничества из 143 стран, организации по всему миру ежегодно теряют около 5% своей выручки из-за мошенничества и злоупотреблений. Но самое интересное — не размер потерь, а то, как именно сегодня совершается мошеннич

👍3😱2

Showing the 12 most recent of 19 posts we hold for @forensicUK. 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 — 190,615 of 1,169,250entries 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 3 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.

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

“Forensic Audit” (@forensicUK), 301 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/forensicUK.

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.