Channel
@dark_blogos
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003662150812 |
|---|---|
| Type | Channel |
| Username | @dark_blogos |
| Description | критическая аналитика академической культуры |
| Created | Between 1 December 2025 and 22 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/dark_blogos |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 10:19 | 24 | no change |
| 6 Aug 2026, 14:22 | 24 | first reading |
18 posts held, back to 22 January 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 1 pageof 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 31 July 2026 |
|---|---|
| Posts held | 18 (22 January 2026 – 31 July 2026) |
| Views total | 75 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 10:19 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 11 August 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.
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.
64 reactions across 17 posts, in 2 distinct kinds. The most used accounts for 56.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🗿 | 36 | 56.3% | |
| 🌚 | 28 | 43.8% |
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 17 of the 18 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 22 January 2026 to 31 July 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.
На кинолектории в ИНИОН 11 августа в 16:00 поговорим о редактуре в кино. Тема очень сложная, многомерная и разбирать мы ее будем со сценаристом эко-сериала «Зеленый мэр», креативным продюсером сериалов СТС «Киловаттино» 2025 г., «Юность» 2023 (премия ТЭФИ Kids 2024) и сериала ТНТ «Улица» 2017-2018 гг. (премия ТЭФИ 2018) Виталием Максимовым. Является ли редактура цензурой, может ли редактура быть во благо, как обойти…
🗿3🌚2
Тут Babbel Languages совместно с пользователями и лингвистами выбирали самое красивое слово. В итоге остановились на kaitiakitanga 🇳🇿, что с маори значит «опека», «защита» и «забота», но не просто, а по отношению к природе. Опять экологическая повестка победила не там, где могла бы. Также в финал вышли: Аура и зефир 🇬🇷 Кунцуги и икигай ❤️ Хираэт 🏴 Люфтменш 🇮🇱 Мамихлапинатапаи 🇨🇱 (наш фаворит) Наз 🇵🇰 Охала 🇪🇸 (…
🗿5
Эко(номика)логия Общий корень у терминов неспроста. ВЦИОМ в этом месте довольно быстро снимает «зеленые очки», ибо чем хуже у человека с доходом, тем слабее экологический императив в поведении. Вчера на лекции Летней школы социальной философии проверили это на котятках. На входе спросили про бытовую экологичность. Экологичными себя идентифицируют 49,1%, что радует, рефлексивные котятки, честно ответили. В быту все …
🗿5
Провели. Впечатления двоякие. С одной стороны, кризис идей в нашем кино по моему мнению - чистый алармизм. С другой, очевидно, что с их доведением до зрителя есть определенные (если не большие) проблемы. И очень перекликается все с наукой. Идей - жопой жуй. Но доведение их хотя бы до страниц журналов - голый энтузиазм и личные связи. Чаще пишешь то, за что платят (по ГЗ и НИР на работе или по грантам), или то, что «…
🗿7
Мы с Дмитрием Кравченко через 2 недели проведем первую из 9 запланированных лекций по киноиндустрии. Не по киноискусству, от которого мы (я) устали, а конкретно, че там по деньгам, кто главный и как все устроено. Дмитрий - профессиональный сценарист (сериал Шеф, 7,4 на Кинопоиске), который расскажет правду-матку. Я - софист, задача которого докопаться до Дмитрия. 25 июня в 16:00 в ИНИОН РАН #киногик_извращенец
🌚2
Экология - не про защиту окружающей среды. Субботники, расчленение чайного пакетика на составляющие и сортировка их по разным склянкам, экокожа, вегетарианство и пр. «зеленое» - это все замечательно, но не про экологию. Объектом экологии (фундаментально) является взаимоотношение одно- и разно-уровневых систем. И оно может быть любое. Хочу - халву ем, хочу - ядерные грибы на Новой Земле. А эколог изучает. Мы (люди …
🗿2
Если мы решаем кроссворды, то письменно (c) #индекс_хихирша
🗿2🌚1
Антиплагиат-сервисы не допускают российских студентов до защиты дипломных работ, обвиняя их в использовании нейросетей. «Усовершенствованные» программы запутались, где ИИ, а где реальные мысли учащихся. Как выяснила «База», антиплагиаты как общего пользования, так и внутривузовские прошли ряд обновлений — чтобы лучше выявлять нейротексты. По итогу: от руки написанные дипломы и курсовые получают маркировку «сгенериро…
Прикол в том, что и мы с подобным недавно столкнулись, когда написанный ручками текст показал аж 45% ИИ-контента. И самая ирония, что за нейросетевой контент были посчитаны статистические данные, разработанные формулы и т.д. Нейросетевая паранойя крепчает, а мы по ней пишем статью и все никак дописать не можем. #спекулятивный_сюрреализм
🗿1
Порой мракобесы сами пишут в институты и университеты с просьбой взять в Фонд их опусы. Приходится делать подобные отписки. #спекулятивный_сюрреализм
🗿3
Я ставлю вам 4, чтобы вы не зазнавались (с) окаянная Невелева В.С. #безчувственный_объект
🗿3
Что тут сказать. Рецензирование дипломов бакалавров — дело довольно-таки любопытное. Пока один классик пишет, что человек произошел от галлюцинирующей обезьяны, приходится вычитывать текст галлюцинирующего ГПТ, который скопировала в диплом «обезьяна». Честно говоря, мне чуточку обидно, что совсем немного не хватило до 1000 слов. А еще лучше 1111 слов и 10000 знаков. #безчувственный_объект
🗿4
Showing the 12 most recent of 18 posts we hold for @dark_blogos. 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 — 591,123 of 1,350,102entries 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Темная болтология” (@dark_blogos), 24 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/dark_blogos.
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.