Channel
@decadentmrr
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
11,315subscribers
-14 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001187960304 |
|---|---|
| Type | Channel |
| Username | @decadentmrr |
| Description | Иван Сибирин. Проклятая поэзия святых мест. 18+ Заявление в РКН №4966958652 обратная связь — @psycho_888 реклама: @TgPodbor_bot |
| Created | 31 December 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/decadentmrr |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 07:33 | 11,315 | +6 |
| 13 Aug 2026, 02:55 | 11,309 | -5 |
| 12 Aug 2026, 03:32 | 11,314 | -2 |
| 11 Aug 2026, 02:21 | 11,316 | -7 |
| 10 Aug 2026, 03:41 | 11,323 | -3 |
| 9 Aug 2026, 06:00 | 11,326 | +1 |
| 8 Aug 2026, 09:34 | 11,325 | -5 |
| 7 Aug 2026, 06:45 | 11,330 | +1 |
| 6 Aug 2026, 10:07 | 11,329 | no change |
| 6 Aug 2026, 09:55 | 11,329 | first reading |
11 posts held, back to 6 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 18 pagesof 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 7 August 2026 |
|---|---|
| Posts held | 11 (6 July 2026 – 7 August 2026) |
| Views total | 16,800 |
| Reactions total | 165 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 15:59 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 15 August 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.
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.
319 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 47.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🏆 | 150 | 47.0% | |
| 🍾 | 128 | 40.1% | |
| 🫡 | 31 | 9.72% | |
| 🌭 | 10 | 3.13% |
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 10 of the 11 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 319reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 6 July 2026 to 7 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @decadentmrr. 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 11 most recent posts we hold for this entry, published 6 July 2026 to 7 August 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.
В предпоследней серии последнего сезона «Рика и Морти» обнаружено «Бытие и время» Мартина Хайдеггера. С логичной последующей реакцией Рика. Это примерно, как если бы Лосяш читал «Опавшие листья» Василия Розанова.
🫡29🌭10
Муза Эдуарда Лимонова, небезызвестная Настя Лысогор, рассказывала, что беспорядочно тратить финансы писатель умел только в ресторанах: «…там он спускал огромные деньги. Вот их как раз и можно было пустить на партию! Он заказывал огромную тарелку мяса и всегда оставлял огромные чаевые». Будьте как Лимонов, тем более, сегодня в 18.00 состоится открытие второго в Москве ресторана Senti Menti совместно с брендом Zielins…
🍾14🏆6
Когда что-либо связанное с постсоветским андеграундом кажется хорошо знакомым либо, как минимум, забытым, в дело вступает издательство «Носорог» с удивительным материалом «Ленинград» — коллективным романом-путешествием четырех знаковых авторов американской «языковой поэзии» (Майкла Дэвидсона, Рона Силлимана, Барретта Уоттена и Лин Хеджинян). Метафизический травелог стал результатом поездки американских поэтов в уже …
🏆8🍾7🫡2
Photo, posted without a caption
🍾2
«Одиссея». Путь травмы в Ионическое море лужу. Перво-наперво следует сказать, что перед нолановской экранизацией во что бы ни стало необходимо ознакомиться с поэмой Гомера хотя бы по верхам. Причина тому — метод деконструкции и столь излюбленное Ноланом нелинейное повествование. Без даже поверхностного понимания гомеровской хронологии вы потеряете главное — режиссерскую оптику, справедливо утверждающую, что грехи лю…
🏆40🍾18
Всё-таки я доосилил все восемь частей в меру знаменитого материала Дмитрия Галковского, где в частности тот утверждает, что «12 стульев» наряду с «Золотым теленком» изошли от пера вовсе не Ильфа и Петрова, а Михаила Афанасьевича Булгакова. (Первая часть здесь, про «стулья» фундаментально начинаются с пятой,). Если с фразой «это так плохо, что хорошо» все более-менее понятно и без того, то теория об авторстве Михаила…
🍾21🏆8
Французский философ Жан Бодрийяр исследовал еду не как способ утоления голода, а как часть системы знаков. То есть, в ресторане еда стирает границы между потреблением еды и искусством. В связи с этим, горячо рекомендую заведение, где тезис воплощается в полной мере — Nene. А по промокоду МОРТИРЫ скидка 15% на все меню до 19 июля! Nene, Москва, Большая Грузинская, 76.
🏆9🍾1
Когда как не в преддверии первого полуфинала ЧМ вспомнить о главном кинопересечении футбола и философии. «The Philosophers’ Football Match» — скетч труппы «Монти Пайтон», снятый специально для западногерманского телевидения, в рамках которого команды, представляющие величайших философов Германии и Греции, играют в футбол, а каждый игрок олицетворяет собой символ философской мысли. Предварительно сообщается, что в по…
🍾30🏆8
Photo, posted without a caption
Хаски сыграет Лермонтова в фильме Павла Лунгина о поэте, чей выход намечен на 2028 год. Ну… почему бы и нет? За Михаил Юрьевича в кино взялись столь же плотно, сколько за кино взялся Хаски. Занимательно, что снова тот же типаж — как и Озолин у Бакурадзе, а не канонический красавец из светских салонов, которого дотошно к поэту цепляли. К тому же, в гостиных поговаривают, что кое-кто подступает к экранизации «Бэлы», н…
🏆50
Без преувеличения всю мою жизнь со мной проходит один фильм. Я смотрел его в минуты абсолютного восторга от существования, несравненного неприятия собственной жизни, одинокий и любвеобильный, трезвый и не очень, гадом и славным человеком, в поездах дальнего следования, квартирах друзей и любовниц, Москве, Петербурге, Милане и даже Лиссабоне. Он являлся и является моей отдушиной. В рамках него я говорю сам с собой на…
🍾35🏆21
Showing the 11 most recent of 11 posts we hold for @decadentmrr. 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.
Citation-graph rank — 120,211 of 1,480,688entries 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.
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.
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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“мортиры и перелески.” (@decadentmrr), 11,315 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/decadentmrr.
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.