🕵️♀️ 🔍 Корпоратив фирибгарликка қарши кураш бўйича бутун дунёдан олинган маълумотлар. Молиявий хавфсизликда Форензик аудитнинг аҳамияти.
Канал на русском: @forensicUK
(71) 202-25-65
(94) 871-00-78
Created
Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements spanning 4 days. 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 28–30 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 05:16
29
no change
7 Aug 2026, 16:47
29
first reading
Engagement
19 posts held, back to 22 May 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
64.4%
avg views ÷ 29 subscribers
Avg views / post
18.7
6 posts measured
Reaction rate
12.8%
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
Window
Rolling 30 days · latest post in window 31 July 2026
Posts held
19 (22 May 2026 – 31 July 2026)
Views total
112
Reactions total
12
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Aug 2026, 05:16 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
66
Videos
5
Links
49
Lifetime counters from Telegram’s own channel header, read 11 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
42 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 69.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
29
69.0%
🔥
10
23.8%
👏
2
4.76%
💯
1
2.38%
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 42reactions 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.
🔍 Kompaniya ichidan 1 milliard soʻm: eng katta xavf — o‘zining IT mutaxassisi
Toshkent shahrida huquqni muhofaza qiluvchi organlar tomonidan bir kompaniyaning IT bo‘limi xodimi tomonidan sodir etilgani taxmin qilinayotgan 1 milliard 43 million 108 ming so‘m miqdoridagi mablag‘ni talon-toroj qilish holati fosh etilgani ma'lum qilindi.
Tergov materiallariga ko‘ra, mutaxassis ish beruvchining ichki axborot tizimlarid…
Giyohvandlik, Telegram va kriptoaktivlar: O‘zbekistonda aylanmasi 50 mln AQSH dollaridan ortiq bo‘lgan sxema fosh etildi
O‘zbekiston huquqni muhofaza qiluvchi organlari noqonuniy giyohvandlik va psixotrop moddalar savdosi, kriptoaktivlardan foydalanish hamda jinoiy daromadlarni legallashtirish bilan bog‘liq eng yirik aniqlangan sxemalardan biri fosh etilganini ma’lum qildi.
Bosh prokuratura ma’lumotlariga ko‘ra, sx…
🌐 FATF: kriptoaktivlardan uyushgan jinoyatchilikda tobora ko‘proq foydalanilmoqda. Nazorat kuchaytiriladi
FATF virtual aktivlar (Virtual Assets, VA) va virtual aktivlar xizmatlari ko‘rsatuvchilari (VASP) bo‘yicha xalqaro standartlarni joriy etishga bag‘ishlangan 7-maqsadli hisobotni e’lon qildi.
Hisobotning asosiy xulosasi — kriptoindustriyani tartibga solish sohasida sezilarli taraqqiyotga erishilganiga qaramasda…
100 та сохта ариза. $2 миллион зарар. 4 йил озодликдан маҳрум қилиш.
АҚШда федерал суд пандемия даврида COVID-19 оқибатларидан жабрланган бизнесни қўллаб-қувватлаш учун давлат томонидан ажратилган маблағлардан 2 миллион доллардан ортиқ пулни талон-торож қилган фирибгарлик схемаси ташкилотчисини 4 йил муддатга озодликдан маҳрум қилди.
Схема анча содда кўринишга эга эди.
Ташкилотчи давлат маблағларини олишни истаган…
Ishonch tizimning eng zaif bo‘g‘iniga aylanganda
Ko‘plab tekshiruvlarda biz puxta yashirilgan firibgarlik bilan emas, balki yirik yo‘qotishlarning ancha oddiy sababi — boshqaruv tizimining mavjud emasligi bilan to‘qnashamiz.
Holat deyarli har doim bir xil rivojlanadi.
Rahbar xodimga kassa, ombor, xaridlar, savdo yoki moliyani boshqarishni ishonib topshiradi.
Yillar davomida jiddiy savollarsiz ish olib boriladi. Hu…
Jamoada eng zaif bo‘g‘in — xato qiladigan emas. Balki har doim ayb o‘zida emas deb hisoblaydigan odam.
Forenzikda oddiy qoida bor: agar inson hech qachon o‘z xatolarini tan olmasa, tekshiruvni aynan undan boshlash mumkin.
Yo‘q, chunki u albatta firibgar degani emas. Balki shaxsiy javobgarlikning yo‘qligi — eng xavfli tashkiliy xatarlardan biridir.
Bunday xodim bitta ssenariy bo‘yicha yashaydi:
— rahbariyat vazifa…
👨💻🧾 QR-to‘lov va fiskal chek: nega bu bir xil narsa emas?
Bugungi kunda ko‘plab sotuvchilar to‘lovlarni QR-kod orqali qabul qilmoqda. Amaliyotda shuni tushunish muhim: QR-kod orqali to‘lov amalga oshirilganining o‘zi har doim ham fiskal chek avtomatik shakllanganini anglatmaydi.
QR-to‘lovning ikkita asosiy turi mavjud: statik va dinamik QR-kod.
🔳 Statik QR-kod
Sotuvchi xaridorga bosma shakldagi QR-kodni ko‘rsata…
# 🚨 3,7 milliard dollarlik firibgarlik: AQSh tarixidagi eng yirik tibbiy firibgarliklardan biri
2026-yil iyun oyida AQSh hukumati Medicare — yoshi katta fuqarolar uchun mo‘ljallangan davlat tibbiy sug‘urta dasturi tarixidagi eng yirik firibgarlik sxemalaridan birini tashkil etganlikda gumon qilinayotgan shaxsning AQShga ekstraditsiya qilinganini ma’lum qildi.
Tergov materiallarida tilga olinayotgan summa hayratlana…
📚 Ilhomlantiruvchi uchrashuv
Yaqinda Forensic Audit ofisida “Hisobdagi firibgarliklar” kitobi muallifi Ibrohim Ahmadxonov bilan mazmunli va samarali uchrashuv bo‘lib o‘tdi.
Suhbat davomida forenzik audit, moliyaviy tergovlar, professional ta’lim, shuningdek, O‘zbekistonda shaffoflik va halol biznes madaniyatini rivojlantirishga xizmat qiladigan zamonaviy metodologiyalar hamda standartlarni shakllantirish istiqbolla…
👍1
Showing the 12 most recent of 19 posts we hold for @forensicuz. 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 — 271,151 of 1,160,990entries 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.
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.
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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Forensic Audit” (@forensicuz), 29 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/forensicuz.
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.