Ну давайте, расскажите нам, что вы знаете о криминальном чтиве?! 😎
Контакт для связи с редакцией: [email protected]
На письма с российских почтовых сервисов ответить не сможем 🤷🏻♂️
Created
30 October 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 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
41 measurements spanning 70 days, net -54. 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 45,753–46,073 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)
Subscribers
Change
15 Oct 2026, 10:05
45,913
-10
14 Oct 2026, 10:08
45,923
+4
12 Oct 2026, 22:00
45,919
-7
8 Oct 2026, 14:01
45,926
-43
4 Oct 2026, 01:41
45,969
-67
25 Sept 2026, 06:19
46,036
+71
18 Sept 2026, 21:40
45,965
+26
16 Sept 2026, 15:39
45,939
-10
14 Sept 2026, 19:55
45,949
+1
13 Sept 2026, 04:38
45,948
-3
11 Sept 2026, 05:59
45,951
-14
8 Sept 2026, 12:57
45,965
+27
5 Sept 2026, 05:41
45,938
+18
3 Sept 2026, 07:48
45,920
-1
2 Sept 2026, 00:53
45,921
+9
31 Aug 2026, 22:26
45,912
+58
30 Aug 2026, 23:39
45,854
+5
29 Aug 2026, 22:46
45,849
+37
28 Aug 2026, 23:34
45,812
+22
28 Aug 2026, 00:04
45,790
first reading
Engagement
74 posts held, back to 20 April 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 139 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
32.9%
avg views ÷ 45,913 subscribers
Avg views / post
15,100
35 posts measured
Reaction rate
0.596%
reactions ÷ views · ER floor
Posts in window
35
of 74 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 14 October 2026
Posts held
74 (20 April 2026 – 14 October 2026)
Views total
528,930
Reactions total
3,155
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Oct 2026, 11:21 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
≈898
Videos
≈70
Links
≈7,770
Lifetime counters from Telegram’s own channel header, read 15 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
8,295 reactions across 74 posts, in 41 distinct kinds. The most used accounts for 27.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,286
27.6%
🔥
1,638
19.7%
👍
1,233
14.9%
🤣
1,155
13.9%
😁
510
6.15%
👏
457
5.51%
🤬
432
5.21%
😡
96
1.16%
💯
79
0.952%
🤔
79
0.952%
😱
62
0.747%
🤡
51
0.615%
🤯
38
0.458%
🤮
31
0.374%
👌
21
0.253%
🤝
15
0.181%
😭
14
0.169%
🌚
11
0.133%
😨
9
0.108%
🫡
8
0.096%
21 further kinds
70
0.844%
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 74 of the 74 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 8,295 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 20 April 2026 to 14 October 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.
Telegram Stars
Stars received
10
across the posts below
Posts paid on
6
of 74 we hold a reading for · 8%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @LisaBasilioCh. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 74 most recent posts we hold for this entry, published 20 April 2026 to 14 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Бедная демография - никакой эротики.
В отсутствии значимых новостей про различных казнокрадов и аферистов, остановимся на забавном. Как сообщает Объединенная пресс-служба судов Петербурга, в городе отобрали лицензию у периодического печатного издания журнала EROTICON LIFE, что издавался еще с мая 2004 года. Решение по административному иску Роскомнадзора принял Дзержинский районный суд. Вот так-то😵
Мы было подумали…
Прокуроры близко. После публикации Лисы сотрудникам Тосненского ДРСУ выплачивают зарплаты.
Как рассказали Basilio на крупном дорожном предприятии в Тосненском районе Ленинградской области, сотрудники прокуратуры появились в ДРСУ уже на следующий день после публикации, в которой мы рассказали о его бедственном положении. Надзор провёл опрос персонала, побеседовал с начальством, забрал кипы документов. Рабочие пожалов…
За чей счет этот гольф? Точно не за ваш, Кирилл Геннадьевич.
Продолжаем рассказ о банкротстве подрядчиков строительства завода по сжижению природного газа компании «РусХимАльянс» в портовой зоне Усть-Луга Ленобласти. Долгая и заковыристая история - читается по ссылкам, пересказать ее здесь даже кратко не получится из-за ограничений телеграмма по размеру публикации. Мы лучше сосредоточимся на новых и впечатляющих под…
Такая культурная столица, что и театр сопрут.
Петроградский районный суд Петербурга зарегистрировал уголовное дело в отношении Арсена Мовсесяна, обвиняемого в особо крупном мошенничестве и легализации преступных доходов. Фишка в том, что пострадавшей стороной стал символ русской оперы и балета - «Мариинский театр»🤦♂️ Вместе с Мовсесяном, но только в особо крупном мошенничестве обвиняются также дамы: Виктория Кравче…
Кому теперь в минус «Орион плюс».
Многих игроков рынка дорожного строительства Петербурга, равно как и профильных чиновников, накануне передернуло😬 И дело не в том, что под стражу за особо крупную взятку отправились двое управленцев подведомственного Комитету по развитию транспортной инфраструктуры (КРТИ) ГБУ «Мостотрест» - причастный народ привычен и все понимает😉 Но ведь вместе с ними под арест (правда домашний🤓) …
РЖД-стайл: не борзыми щенками, так помещением.
Смольнинский районный суд Петербурга зарегистрировал уголовное дело в отношении Сергея Осташко, обвиняемого в особо крупной взятке и легализации преступных доходов😬 Работая на руководящих постах в Октябрьской железной дороге, он был задержан в конце декабря прошлого года и отправлен под стражу⛓️💥
Судя по материалам дела, в период с февраля 2020 по август 2023 годов Ос…
Хоп, хоп… Кто спасет хип-хоп?
Как сообщают СМИ, американский рэпер Канье Уэст мог заработать порядка 20 млн долларов на концертах, так и не состоявшихся в России 🤦🏻♂️ Это аванс исполнителя и его команды, который, судя по всему, возвращать он не обязан👍🏿
По логике, к Канье и вопросов нет - позвали, деньги прислали, потом сказали - не, товарищ, ты нам не нужен. Ну, он сказал - спасибо, ребята👍🏿 А что, 20 единиц грин…
Голубые глаза, богатый отель.
А вот, кстати, фото активного директора Елены Якконен из нашего прошлого поста. Правда фотография сделана еще в 2013 году, когда директор, ныне приговоренная за хищение почти 50 млн рублей у компании «Альянс», руководила туристическим агентством с романтическим названием «Голубые глаза». Позже именно это юрлицо преобразовалось в ООО «Деметра», что фигурирует в уголовном деле Якконен - н…
Нормальные такие завтраки: как активный директор может стоить отелю под 50 млн рублей.
Октябрьский районный суд Санкт-Петербурга огласил приговор в отношении Елены Якконен, признанной виновной в особо крупном мошенничестве и растрате. Управляя отелем, она лихо финансировала собственные фирмы🤦🏻♂️
Как установило следствие Якконен, будучи генеральным и исполнительным директором ООО «Альянс», а также являясь генеральн…
За обнал и взятку БЭПу.
Накануне Октябрьский районный суд Петербурга отправил под стражу Владимира Щуревича и Александра Соколова. Их обвиняют не только в незаконной банковской деятельности и «выгоне» иностранной валюты за кордон, но и в передаче взятки сотрудникам экономической полиции Главка😬
Следствие полагает, что Щуревич и Соколов, вместе с пятью другими гражданами и еще неустановленными лицами с 2019 года со…
Не шутите с ФНС или ушел в банкротство, а попал в тюрьму.
Процедура банкротства - не панацея от долгов. Тем более, если кредитор сама ФНС. Вот пример: сегодня Смольнинский районный суд Петербурга огласил приговор в отношении известного в определенных кругах предпринимателя Вадима Варенцова, признанного виновным в банкротстве преднамеренном👹
Само правонарушение состоялось еще в конце 2016 года, когда коммерсант Вар…
Без соли что без воли. В Петербурге арестованы дорожный функционер и его подрядчик.
Как сообщил петербургский Следком, задержан и арестован руководитель принадлежащего городу АО «Коломяжское» Виктор Юкляев. Дела возбуждены по особо крупной взятке и превышению должностных полномочий и касаются поставки дорожной соли⛓️💥
Солидное дорожное предприятие АО «Коломяжское» отвечает за дороги в северных районах города, а ар…
🔥54❤25👍14💯6🤣3🥱1
Showing the 12 most recent of 74 posts we hold for @LisaBasilioCh. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@LisaBasilioCh edited 5 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
25 August 2026
Most recent edit
13 October 2026
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 7 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.
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.
Read from Telegram’s recommendation API, most recently 27 August 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.
Ленинградский Cyber - страж @LenCyber78 · 149,780 Telegram ranks this channel #17 of 54 here — alongside 53 others — read 18 August 2026
Другая История @drugaiaistoria · 32,886 Telegram ranks this channel #19 of 67 here — alongside 66 others — read 11 September 2026
Версия @VersiaRu · 36,499 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 30 August 2026
ПРАЙМ КРАЙМ @primecrimeofficial · 27,345 Telegram ranks this channel #33 of 76 here — alongside 75 others — read 11 September 2026
Компромат Групп @criminalru · 117,491 Telegram ranks this channel #59 of 93 here — alongside 92 others — read 14 August 2026
47news @allnews47 · 44,997 Telegram ranks this channel #63 of 89 here — alongside 88 others — read 28 August 2026
Александр ДроZденко @drozdenko_au_lo · 79,634 Telegram ranks this channel #70 of 91 here — alongside 90 others — read 18 August 2026
Объединённая пресс-служба судов Санкт-Петербурга @SPbGS · 27,047 Telegram ranks this channel #85 of 87 here — alongside 86 others — read 11 September 2026
Газпром межрегионгаз @news_mrg · 53,521 Telegram ranks this channel #88 of 94 here — alongside 93 others — read 31 August 2026
This channel appears in 9 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 15 October 2026 — this
entry's latest reading, not the date you are reading this.
“• ЛИСА BASILIO •” (@LisaBasilioCh), 45,913 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/LisaBasilioCh.
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.