4 measurements spanning 21 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 395–396 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Aug 2026, 14:22
396
+1
21 Aug 2026, 03:33
395
-1
8 Aug 2026, 05:50
396
no change
7 Aug 2026, 16:17
396
first reading
Engagement
19 posts held, back to 6 November 2025 — 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
32.1%
avg views ÷ 396 subscribers
Avg views / post
127
1 post measured
Reaction rate
3.15%
reactions ÷ views · ER floor
Posts in window
1
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
19 (6 November 2025 – 6 August 2026)
Views total
127
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 05:50 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.
Reaction mix
175 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 52.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
91
52.0%
custom 5460707272235701429
50
28.6%
💯
28
16.0%
custom 5463121572137022242
6
3.43%
Custom emoji. 2 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 12 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 175reactions 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 6 November 2025 to 6 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.
Спасибо всем, кто поучаствовал в опросе.
Если совсем коротко, то у меня сложилось три впечатления.
🔸 Во-первых, ИИ уже вошел в повседневную работу. Практически все, кто ответил, либо уже используют его в работе, либо как минимум проводят эксперименты. История про "говорить что нужно внедрить ИИ" уже неактуальна для нашей аудитории.
🔸 Во-вторых, измеримый денежный эффект пока скорее исключение, чем правило. Большинс…
В последнее время про ИИ — буквально из всех утюгов
На работе, да и за ее пределами, уже все как будто пропитано идеей, что нужно начинать использовать artificial intelligence
При этом, когда дело доходит до обсуждения реальных результатов, конкретики зачастую становится заметно меньше (если это, конечно, не профильная конференция :) ).
И, если честно, складывается ощущение, что многие уже начинают немного устават…
♟️ Решения по макропруденциальной политике
Банк России устанавливает более строгие ограничения на предоставление кредитов заемщикам с повышенной долговой нагрузкой в следующих сегментах:
⏺️ Необеспеченные кредиты наличными
⏺️ Нецелевые потребительские кредиты под залог автомобиля или недвижимости
⏺️ Кредиты на покупку автомобиля
Мера затронет тех заемщиков, которые направляют на обслуживание кредитов и займов боле…
🟠 Заметки и наблюдения по статье "Модель управления кредитным портфелем с учетом влияния макроэкономических факторов"
Идея объединить структурные модели кредитного риска с макроэкономическим прогнозированием выглядит очень естественной: фактически авторы предлагают построить мост между PD-моделями и задачами динамического управления портфелем.
При этом при переходе от академического примера к практическому примене…
Макрофакторы и кредитный риск: разбор свежей статьи
Потихоньку становимся амбассадором "РегламентаБанка", поосмотрим еще на одну интересную статью: «Модель управления кредитным портфелем с учетом влияния макроэкономических факторов».
Авторы — Дмитрий Куренной (T-Data, МГУ) и Максим Кирякин (МГУ) — предлагают систему непрерывного мониторинга кредитного риска, которая объединяет структурную модель Мертона, прогнозиро…
🔸 Подход 2: надбавка за ухудшение дискриминационной способности
Авторы предлагают стресс-тест устойчивости модели к ухудшению ранжирующей способности. Идея следующая:
- случайному 1% наблюдений с наихудшими рейтингами принудительно присваивается наивысший рейтинг;
- после такой модификации модель повторно калибруется (в статье написано - после калибровки);
- рассчитывается средняя прогнозная вероятность дефолта по п…
ПВР и консервативные надбавки (MoC): разбор свежей статьи
Предлагаем посмотреть на свежую статью из «РегламентБанка».
Коротко - что предлагают авторы и какие методологические вопросы остаются открытыми.
Авторы - Нвер Симонян (Банк России, НИУ ВШЭ) и Юрий Полянский - предлагают некоторый методологический каркас для построения консервативных надбавок (MoC) в рамках требований 845-П.
🔸 О чем статья
845-П обязывает П…
Мой опыт сдачи FRM (2/2)
🔸 День экзамена и организационные моменты
Один из плюсов — экзамен по-прежнему можно сдавать в России (хотя оплатить его российской картой нельзя). Насколько я знаю, площадка для сдачи всего одна и находится в Москве.
Обе части проходили примерно одинаково: небольшой кабинет со старыми компьютерами в здании Института почвоведения. О впечатлениях от места сдачи уже подробно писали здесь.
Са…
🔥21
Signed Ilia Stepanov
Showing the 12 most recent of 19 posts we hold for @justified_risks. 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.
Polls
The 4 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.
Как думаете, дополнительный расход в 5 рублей для Банка это много?
Да, это очень много72%
Нет, совсем не много28%
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 19 most recent posts we hold, published 6 November 2025 to 6 August 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 28 August 2026 — this
entry's latest reading, not the date you are reading this.
“Оправданные Риски” (@justified_risks), 396 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/justified_risks.
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.