Other / unclassifiable — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 48% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
12,000 average views per post against 9,716 subscribers — an engagement rate of 123.7%. Across the 40,483 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Russian — the middle half sit between 7.15% and 26.5%, with a median of 14.2%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
15 of 15 published in the window (5 exact, 10 rounded by Telegram)
Views totalled
180,351
Mature posts only
154.0% over 12 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
5 measurements spanning 7 days, net -158. 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 9,691–9,909 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 18:33
9,716
-96
9 Aug 2026, 22:31
9,812
-72
6 Aug 2026, 19:50
9,884
+10
6 Aug 2026, 02:49
9,874
no change
6 Aug 2026, 01:36
9,874
first reading
Engagement
15 posts held, back to 21 July 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
123.7%
avg views ÷ 9,716 subscribers
Avg views / post
12,000
15 posts measured
Reaction rate
0.205%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 12 August 2026
Posts held
15 (21 July 2026 – 12 August 2026)
Views total
180,351
Reactions total
369
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 14:46 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
28s
Average length
7s
Measured directly from 4 videos 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
338 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 26.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
91
26.9%
custom 5276404676466601608
76
22.5%
custom 5276342502520024372
64
18.9%
👍
56
16.6%
custom 5276067744872164399
25
7.40%
👏
12
3.55%
⚡
6
1.78%
custom 5276139681279407484
5
1.48%
🤝
2
0.592%
🤔
1
0.296%
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 15 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 369reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 21 July 2026 to 12 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.
Advertising
Ad load
6.67%
1 of 15 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
6,130
over 1 measured post
Median views · rest
8,880
over 14 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFJNFS2d
1
4 August 2026
4 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 15 most recent posts we hold, published 21 July 2026 to 12 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Как POS-кредитование увеличивает средний чек?
Возможность оформить кредит прямо в точке продаж или во время оформления онлайн-заказа в интернет-магазине — часто тот самый аргумент, который помогает клиенту принять решение о покупке.
В карточках о том, как POS-кредитование помогает бизнесу увеличивать продажи.
Подключите в ОТП Банке еще один удобный способ оплаты для своих клиентов 🤩
#ОТП_POS
🤩 Мы в МАКС 🤩
Как сохранить сбережения в условиях инфляции? 🤩
Приглашаем вас на презентацию новой книги Дмитрия Голубкова, нашего директора по макроэкономическому анализу, с которым вы уже знакомы по нашим вебинарам.
🤩 14 августа, 19:00
Москва-Сити, ТРЦ «Афимолл», «Читай-город»
На встрече разыграем 5 экземпляров книги «Как спасти деньги от инфляции: практическое руководство по управлению собственными сбережениями».
Для участия…
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✔️ Срок — от 1 до 31 дня.
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Не упустите выгодные условия — подайте заявку на открытие расчетного счета до 31 августа.
🤩 Мы в МАКС 🤩
Подготовка к осени начинается с надежного РКО 🤩
Август — самое время проверить, готов ли бизнес к активному сезону. Собрали короткий чек-лист, который поможет ничего не упустить 🤩
Важно заранее не только продумать планы, подрядчиков и новые проекты, но и убедиться, что банковские сервисы соответствуют текущим задачам бизнеса.
Выберите удобный тариф и подключите РКО на сайте ОТП Банка.
#ОТП_РКО
🤩 Мы в МАКС 🤩
Контроль начинается с мелочей 🤩
Доставка документов, канцтовары, подписки на сервисы или срочные покупки — платежи, которые легко упустить. Их совершают разные сотрудники и разными способами.
🤩 Бизнес-карта помогает оплачивать все мелкие расходы с одного счета. Учет становится проще и прозрачнее.
Оформите бизнес-карту ОТП Банка с доставкой и держите ежедневные траты под контролем.
🤩 Мы в МАКС 🤩
Как не потерять продажи в высокий сезон? 🤩
Август — один из самых активных месяцев для многих предпринимателей. В высокий сезон важно, чтобы высокая сумма чека не становилась причиной отказа от покупки.
🤩 В карточках рассказываем, как сервис «Давай делить» помогает сделать дорогостоящие покупки доступнее для клиентов и увеличить продажи.
Подключите заранее и используйте высокий сезон по максимуму.
#ОТП_Давай_Дели…
С зарплатным проектом ОТП Банка процесс выплат становится проще 🤩
Можно подключить к 1С, автоматизировать учет и легко формировать отчеты.
🤩 Выпуск и обслуживание дебетовых карт для сотрудников — бесплатно. Зачисление зарплаты — день в день.
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#ОТП_бизнес_сервисы
🤩 Мы в МАКС 🤩
«Приведите друга», чтобы начать бизнес с тем, кому доверяете
🤩 30 июля в мире отмечают День дружбы. Это хороший повод вспомнить, что перед началом общего дела стоит договориться о нескольких вещах заранее.
А когда кто-то из друзей решит открыть свой бизнес, расскажите ему про реферальную программу от ОТП Банка.
Вы получите месяц бесплатного обслуживания счета, а ваш друг — три. Подробнее о программе — на сайте…
3 способа посмотреть на бизнес под другим углом 🤩
Иногда всем полезно проветриться. И бизнесу тоже.
Попробуйте...
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🤩…
Showing the 12 most recent of 15 posts we hold for @otpprobusiness. 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 — 1,714 of 1,151,006entries 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
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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“ОТП ПРО Бизнес” (@otpprobusiness), 9,716 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/otpprobusiness.
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.
