Александр Литвинов на e-library В базе научных текстов e-library выложена первая научная монография об Александре Литвинове – Вене Д’ркине. Эта монография написана в 2025 году и представляет собой совместный труд ученых из двух луганских вузов – Академии Матусовского и Луганского ГАУ. Работа велась совместно, однако Валентина Патерыкина больше занималась сказками, а я писала о местах памяти. Венины песни мы анализи…

Channel
Ninaofterdingen
@ninaofterdingen
On this record: Growth · Engagement · Reactions · Posts · Citations · Cross-platform identity · Cite this entry
459subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001169283392 |
|---|---|
| Type | Channel |
| Username | @ninaofterdingen |
| Created | 20 February 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/ninaofterdingen |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 23:34 | 459 | -1 |
| 6 Aug 2026, 19:04 | 460 | no change |
| 6 Aug 2026, 10:02 | 460 | first reading |
Engagement
12 posts held, back to 27 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 16.5%
- avg views ÷ 459 subscribers
- Avg views / post
- 75.7
- 12 posts measured
- Reaction rate
- 4.12%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 12 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. It is computed over the 9 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 12 (27 July 2026 – 6 August 2026) |
| Views total | 908 |
| Reactions total | 30 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:04 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.
Reaction mix
30 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 36.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 11 | 36.7% | |
| ❤ | 9 | 30.0% | |
| 🤔 | 4 | 13.3% | |
| 👏 | 3 | 10.0% | |
| 👍 | 2 | 6.67% | |
| 😁 | 1 | 3.33% |
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 9 of the 12 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 30reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 27 July 2026 to 6 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.
Recent posts
Три аксиомы мифологического сознания в понятии нации Бенедикт Андерсон в книге о воображаемых сообществах пишет о том, что сама возможность вообразить нацию появилась, когда утратили свою силу три основные идеи, организующие мир и человека. Эти идеи воспринимаются как аксиомы, базовые предпосылки, на которых строится любое рассуждение и любая иррациональная идентичность. Когда они исчезают, люди ищут им замену, и на…
О новой военной поэзии – саратовским читателям Из Саратова до Луганска добрался журнал «Волга», где опубликована критическая рецензия о монографии «Новая военная поэзия». Благодарю Андрея Тимофеева и Елизаветы Мартынову за возможность познакомить саратовских читателей с новинкой нашей филологической науки. «В январе 2026 года вышла в свет первая в России научная монография, посвященная военной поэзии. Монография на…
🔥3👍1
В кремле Нижнего, во дворце бывшего военного губернатора, находится одна из главных сокровищниц области - Нижегородский художественный музей. Богатейшая коллекция русской живописи и скульптуры.
❤3
Вчера гуляли с Ниной. Увидели странную будку посреди котлована. — Что это? — Наверняка, машина времени. — Может быть…. — Нина! Ты куда бы отправилась: в пошлое или в будущее? Я … — Никуда! Обошла бы стороной! — Как?! Нина — ты Фима Королёв! — Да! Единственный разумный человек во всём фильме! 🤣🤣🤣
❤5👏3😁1
Три души Свидригайлова Свидригайлов – странный персонаж, у него в романе «Преступление и наказание» есть свой особый сюжет, он прототип героя модерна и даже постмодерна, а в книге Достоевского самое странное в этом герое то, что он никого не убивал, но не выжил. В отличие от Раскольникова, который убил – и выжил, и даже спасся. Свидригайлову также принадлежит вторая по узнаваемости фраза из романа – о вечности как б…
🔥4
Смертоносная Идея в Японии: платонизм и империя "Золотой храм" Юкио Мисимы - книга о разрушающем воздействии идеи на реальность. Сюжет основан на реальных событиях: вскоре после окончания войны в 1945 году некий монах сжёг знаменитый Золотой храм в Киото. Писатель придумал сюжет и мотивацию персонажей. Для главного героя Золотой храм - воплощенное Прекрасное как оно есть, высшая ступень платоновской лестницы эротич…
🔥4
Тимошенко и революция в Латинской Америке Виктор Мараховский комментировал как-то новость о колумбийском партизанском командире по кличке Тимошенко. Этим примером Мараховский иллюстрирует любимую честертоновскую идею о фантастичности обычной реальности: что для нас безумная Юля, для кого-то – символ отваги, решимости и способности достигать своих целей любой ценой. Поэтому крутой геррильеро из дебрей Амазонки берет …
Антропологи на войне: Сопротивление и академическая жизнь во Франции Книга Элис Конклин посвящена антропологии во Франции в 1850-1950-е гг. Решающее столетие, когда антропология в форме расовой теории была максимально востребована и политизирована, влияла на жизнь, смерть, очертания Новой Европы и геноцид народов России. Я прочитала только последнюю главу, об антропологии (этнологии) при немецкой оккупации и режиме…
Кант против розенкрейцеров В книге Манфреда Кюна «Кант» рассказывается о позднем этапе жизни профессора Канта, когда в 1790-е гг. король философов вошел в конфликт с королем Пруссии по поводу идей о свободе совести, изложенных в книге «Религия в пределах только разума». Король Пруссии настаивал на соблюдении религиозных норм преподавателями, в том числе философии, и любыми публичными людьми, особенно священниками. …
Bloody Mary: коктейль или глумление над Богоматерью? Современный историк и антрополог Галина Зеленина написала книгу о марранах XV-XVII вв. Марраны – это испанские евреи, принявшие христианство в XV веке, когда испанский король потребовал, чтобы все его подданные были христианами. У евреев был выбор – крещение или эмиграция. Оставшихся было очень много, они стали заметным сообществом, и оказались под подозрением, чт…
❤1
Гендерная оппозиция и любовь к Родине Гендерная проблематика – это не только борьба за права меньшинств, в которой всё меньше адекватности. В умелых руках и гендерный анализ приносит интересные результаты. Ольга Февралёва сравнивает гендерные сюжеты в русской классической и западноевропейских литературах, откуда русская культура черпала образцы после петровских преобразований. Она замечает, что в европейской культу…
🤔4👍1
Showing the 12 most recent of 12 posts we hold for @ninaofterdingen. 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 — 426,053 of 1,481,306entries 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.
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.
Mentions
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.
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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | Nina Ischenko |
|---|---|
| Description | Ukrainian literary critic |
| Official site | https://ninaofterdingen.ru/ |
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Ninaofterdingen” (@ninaofterdingen), 459 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/ninaofterdingen.
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.