Озвучка рассказа из вселенной Опольцево, написанного к нашему юбилейному турниру. Автор Евгений Савинков, читает Vampirum.
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Channel
@mrakopedia
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry
11,003subscribers
+74 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001133049772 |
|---|---|
| Type | Channel |
| Username | @mrakopedia |
| Created | 11 July 2017 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/mrakopedia |
Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 37% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 19:36 | 11,003 | +3 |
| 15 Sept 2026, 16:15 | 11,000 | +12 |
| 12 Sept 2026, 10:37 | 10,988 | +7 |
| 10 Sept 2026, 06:22 | 10,981 | +3 |
| 6 Sept 2026, 23:41 | 10,978 | +8 |
| 4 Sept 2026, 10:57 | 10,970 | +2 |
| 3 Sept 2026, 00:03 | 10,968 | -3 |
| 1 Sept 2026, 18:35 | 10,971 | +4 |
| 31 Aug 2026, 17:38 | 10,967 | -1 |
| 30 Aug 2026, 14:55 | 10,968 | +2 |
| 29 Aug 2026, 14:28 | 10,966 | +3 |
| 28 Aug 2026, 16:47 | 10,963 | +2 |
| 27 Aug 2026, 17:55 | 10,961 | +3 |
| 26 Aug 2026, 16:42 | 10,958 | +3 |
| 25 Aug 2026, 14:14 | 10,955 | +2 |
| 24 Aug 2026, 15:04 | 10,953 | -1 |
| 23 Aug 2026, 00:57 | 10,954 | +3 |
| 21 Aug 2026, 15:52 | 10,951 | -1 |
| 20 Aug 2026, 11:44 | 10,952 | +1 |
| 19 Aug 2026, 13:12 | 10,951 | first reading |
87 posts held, back to 26 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 41 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. It is computed over the 28 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 87 (26 July 2026 – 2 September 2026) |
| Views total | 59,141 |
| Reactions total | 1,990 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 02:27 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.
5,944 reactions across 83 posts, in 10 distinct kinds. The most used accounts for 27.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,618 | 27.2% | |
| 👍 | 1,096 | 18.4% | |
| 🔥 | 918 | 15.4% | |
| 😢 | 701 | 11.8% | |
| 👎 | 649 | 10.9% | |
| 😁 | 416 | 7.00% | |
| 😐 | 304 | 5.11% | |
| 🤔 | 165 | 2.78% | |
| 😱 | 40 | 0.673% | |
| 🤯 | 37 | 0.622% |
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 86 of the 87 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 6,129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 87 most recent posts we hold, published 26 July 2026 to 2 September 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.
Озвучка рассказа из вселенной Опольцево, написанного к нашему юбилейному турниру. Автор Евгений Савинков, читает Vampirum.
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Рассказ, который вспоминали в комментариях. История врача, столкнувшегося с очень необычным пациентом... Спина #Мракопедия #Крипи #Страшные_истории #За_дверью #Медицина #Монстры #Морг
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#свежее Студент Никита влюбляется в симпатичную кассиршу супермаркета, которая, кажется скрывает какую-то тайну... Непентес Раджа (2 страницы) Автор: Sallivan Telegram-канал #Мракопедия #Крипи #Страшные_истории #Истории_участников #Sallivan #Монстры #Превращение #Проклятия #Ритуал #Странные_люди #Тёмная_романтика
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Довольно нетипичная для Олега история — о необычном эксперименте в обыкновенной на первый взгляд квартире. Проект Траурная Квартира Автор: Олег Новгородов proza.ru ▪️ AT #Мракопедия #Крипи #Страшные_истории #Олег_Новгородов #Детектив #За_дверью #Зомби #Паранаука
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Главный герой изо всех сил пытается убежать от настигающего его ужаса... Сон не приходит Авторка: Litchi Claw #Мракопедия #Крипи #Страшные_истории #Истории_участников #Litchi_Claw #Без_мистики #Библиотека_Клуба #Дети #Заточение #Медицина #Сон #Фантасмагория
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Историей Августа 2026 года безальтернативно стал рассказ Как искать крипоту на ютубе если ты аутист.
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Первого сентября давайте почитаем рассказ Олега о встрече бывших одноклассников и её неожиданных последствиях. Пиратская копия Автор: Олег Новгородов proza.ru ▪️ AT #Мракопедия #Крипи #Страшные_истории #Олег_Новгородов #Зомби #Сверхспособности #Тёмная_романтика #Учебные_заведения
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Мы несколько раз перепроверили, но таки да — первое место в голосовании получила тема "Странные болезни". Открываем марафон статьей, написанной Сашей Р., в которой описываются два необычных исторических случая, которые могли бы быть квалифицированы сегодня как расстройство пищевого поведения. Два странных случая обжорства Авторка: Саша Р. Telegram-канал ❗️На всякий случай уведомляем, что в статье едят в том числе…
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В рамках нашей дневной рубрики на этой неделе мы проведём марафон памяти Олега Новгородова. Невозможно обойти стороной его самый первый публичный рассказ из цикла "Опольцево" и самый первый рассказ автора, опубликованный на Мракопедии. Молодая девушка Женя, живущая в сером спальном районе, начинает испытывать необъяснимые приступы страха чего-то неминуемого... Фаза кошмара (2 страницы) Автор: Олег Новгородов pro…
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Финал. Голосуем за темы марафонов будущей недели
The shares total 194%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
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Hokum ("Хокум", 2026) — готический скример-детектив. Американский писатель заселяется в отель в ирландской глуши, где попадает в крайне странную ситуацию. Относительно свежий и хайповый фильм Дэмиана МакКарти (Caveat, Oddity), который админу захотелось порекомендовать. Как и в других своих творениях режиссёр предлагает нам живописные виды ирландской глубинки, неуютные кадры в полумраке, качественные скримеры (в том…
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Не забывайте проголосовать за понравившиеся темы.
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Showing the 12 most recent of 87 posts we hold for @mrakopedia. 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.
@mrakopedia edited 4 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.
The 3 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.
Финал. Голосуем за темы марафонов будущей недели
The shares total 194%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Финал. Выбираем темы марафонов будущей недели
The shares total 267%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Финал. Выбираем темы историй, которые будем читать на начинающейся неделе
The shares total 160%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 87 most recent posts we hold, published 26 July 2026 to 2 September 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.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Мракопедия” (@mrakopedia), 11,003 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/mrakopedia.
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.