Channel
@koshtoryse
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
43,041subscribers
+9,174 since we began measuring on 31 October 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003472522210 |
|---|---|
| Type | Channel |
| Username | @koshtoryse |
| Description | Бюджеты, тендеры, подрядчики, строительные схемы и деньги, которые стоят за большой стройкой. |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 31 October 2026 |
| Last confirmed live | 1 November 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 1 November 2026 |
| On Telegram | t.me/koshtoryse |
Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 1 November 2026 and assigned it the closest of 31 fixed categories, at 94% 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 the other topics.
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.
32,000 average views per post against 43,041 subscribers — an engagement rate of 74.4%. Across the 8,309 registered channels in the same cohort — 31,624–99,968 subscribers, posting mainly in Russian — the middle half sit between 5.09% and 20.8%, with a median of 10.5%.
| Window | 30 days (3 October 2026 – 2 November 2026) |
|---|---|
| Posts measured | 14 of 14 published in the window (0 exact, 14 rounded by Telegram) |
| Views totalled | 448,460 |
| Mature posts only | 75.0% over 13 posts read at least 24h after publication |
| Subscribers | 43,041 measured 1 November 2026 |
| Cohort | b31623:rus · 8,309 channels · p10 2.58% · p25 5.09% · p50 10.5% · p75 20.8% · p90 35.2% |
| Position in cohort | 99.278th percentile · 7.1× the cohort median |
| Uncertainty | ±0.023% of the figure, from Telegram’s rounding |
| Post language | Russian · 64.3% of the window’s posts |
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 2 November 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Nov 2026, 13:05 | 43,041 | +19 |
| 31 Oct 2026, 14:49 | 43,022 | +9,155 |
| 31 Oct 2026, 00:22 | 33,867 | first reading |
14 posts held, back to 21 October 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 5 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 1 November 2026 |
|---|---|
| Posts held | 14 (21 October 2026 – 1 November 2026) |
| Views total | 448,460 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Nov 2026, 00:43 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.
Lifetime counters from Telegram’s own channel header, read 2 November 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.
Максим Шкиль продолжает демонстрировать свою близость с командой Петра Порошенко. Сегодня Юрий Луценко по заказу Максима Шкиля повторно атаковал Ивана Федорова и Николая Калашника. На размещение публикаций было потрачено 300.000 гривен. https://t.me/times_ukraina/75878 https://t.me/insiderUKR/137524 https://t.me/oko_ua/104070 https://t.me/UaOnlii/135486
За последние 5 часов на телеграм каналах вышло 7 публикаций оплаченных Максимом Шкилем для дискредитации Ивана Федорова и Николая Калашника. Общая сумма затрат 800.000 гривен. https://t.me/times_ukraina/75802 https://t.me/UaOnlii/135378 https://t.me/truexanewsua/147498 https://t.me/insiderUKR/137393 https://t.me/insiderUKR/137383 https://t.me/truexanewsua/147494 https://t.me/truexanewsua/147475
Несколько дней назад Максим Шкиль разместил материал на сайте «РБК-Украина», а затем использовал его в анонимных Telegram-каналах. Теперь на эту же публикацию ссылается Юрий Николов на сайте «Наші гроші» для дискредитации Ивана Федорова. На основе проплаченого материала Максима Шкиля РБК Украины Юрий Николов проводит расследование.
После двух дискредитирующих публикаций за день о министре по восстановлению, инфраструктуре и транспорту Николае Калашнике в «Трухе» появился уже второй за день негативный материал о главе Государственного агентства восстановления и развития инфраструктуры Иване Федорове. За последние четыре часа Максим Шкиль потратил 500 000 гривен на размещение в Telegram-канале «Труха» материалов, дискредитирующих Ивана Федорова …
👀🤔 Окрім Івана Федорова активно медійно атакують міністра відновлення Миколу Калашника Сьогодні низка-тг каналів, які повʼязані з різними владними колами почали публікувати «чорнуху» проти Калашника. З одного боку йому закидають відсутність належних доріг до фронтових міст, з іншого — спроби поставити «своїх людей» в Адміністрації судноплавства. Публікують пости як канали повʼязані з Давидом Арахамією (Труха, Батал…
Максим Шкиль усиливает давление в медиа и вторая публикация за день на телеграм каналах миллионниках против Николая Калашника. В «Трухе» сегодня вышла уже вторая негативная публикация о Николае Калашнике, министре по восстановлению, инфраструктуре и транспорту Украины. За последние 2 часа Максим Шкиль потратил 270.000 гривен разместив две публикации в телеграм канале Труха против Николая Калашникова.
В Telegram и на новостных сайтах распространяются критические материалы так же об Николае Калашнике, министре восстановления, инфраструктуры и транспорта Украины. Максим Шкиль, основатель «Автострады» и генеральный директор MS Capital, расширяет информационную кампанию вслед за Иваном Федоровым, главой Государственного агентства восстановления и развития инфраструктуры Украины, его мишенью стал министр Николай Калаш…
Иван Федоров, глава Государственного агентства восстановления и развития инфраструктуры Украины, выступает против монополизации дорожного рынка. Эту позицию публично поддержала Национальная ассоциация дорожников Украины. НАДУ предупреждает зависимость государства от одного крупного подрядчика создаёт возможность диктовать ему условия. Поэтому нужны доступы региональных компаний к заказам, разделение закупок на лоты…
Максим Шкиль генеральный директор MS Capital и основатель «Автострады», привлёк Юрия Луценко и людей из окружения Петра Порошенко к информационной кампании против Ивана Федорова, главы Государственного агентства восстановления и развития инфраструктуры Украины. Генеральный директор MS Capital и основатель «Автострады»Максим Шкиль после получения многомиллиардных бюджетных заказов направляет часть денег на медийные у…
Рекордный бюджет $700 тысяч за семь дней на информационную кампанию против главы Государственного агентства восстановления и развития инфраструктуры Украины Ивана Федорова. По информации источников основатель и генеральный директор инвестиционной группы MS Capital, основатель группы компаний «Автострада» Максим Шкиль организовал информационную кампанию против Ивана Федорова, сотни сайтов, десятки Telegram-каналов, в…
Телеграм канал «Розвідка Ноєм» участвует в информационной компании организованной Максимом Шкилем против Ивана Федорова и министра Калашникова.
Имя Максима Шкиля связывают с информационной кампанией против Ивана Федорова, возглавляющего Государственное агентство восстановления и развития инфраструктуры Украины. Среди упоминаемых площадок — «Труха», Insider и Times of Ukraine. Федоров, по имеющейся информации, намерен подать заявление правоохранителям о давлении. Теперь вопрос должен перейти из плоскости взаимных обвинений в плоскость конкретных доказательст…
Showing the 12 most recent of 14 posts we hold for @koshtoryse. 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.
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.
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 1 November 2026 — this entry's latest reading, not the date you are reading this.
“Кошторис” (@koshtoryse), 43,041 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/koshtoryse.
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.