Channel
@levitsky_insight
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
186subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001710882247 |
|---|---|
| Type | Channel |
| Username | @levitsky_insight |
| Created | 16 January 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/levitsky_insight |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 14:27 | 186 | -1 |
| 7 Aug 2026, 07:17 | 187 | no change |
| 6 Aug 2026, 12:01 | 187 | first reading |
10 posts held, back to 12 April 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 4 July 2026. An engagement rate over an empty window would be a number about nothing.
140 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 53.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 75 | 53.6% | |
| 😁 | 24 | 17.1% | |
| 🔥 | 20 | 14.3% | |
| 😍 | 12 | 8.57% | |
| 👍 | 3 | 2.14% | |
| 😢 | 3 | 2.14% | |
| 🥰 | 2 | 1.43% | |
| 👏 | 1 | 0.714% |
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 10 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 140reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 12 April 2026 to 4 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.
Коротко о том, зачем нужна финальная вычитка текста. Даже, если кажется, что все добавленные эпизоды органично вписаны в повествование, это не спасает книгу от появления в ней странных оборотов и забытых лишних слов. Читаем в 4 глаза вместе с редактором "Инсайта" Анастасией Перковой 😵💫
❤7😁5
Signed Евгения Левицки
Я на афише👆грядущего фэнтези-фестиваля "Черным-Бело": поговорим о тёмном фэнтези, о "Повелителе душ" 9 августа Москва Жду вас!
❤14
Signed Евгения Левицки
А вот и авторы, которых вы сможете встретить на нашем фестивале 9 августа! Сохраняйте себе, чтобы не забыть, какие будут паблик-токи 🖤 Авторам можно будет задать вопросы и взять автограф. А еще у нас будет конкурс косплея и дефиле! Готовьте костюмы героев наших книг 😉 Когда: 9 августа, 12:00 — 20:00 Где: Москва, Мясницкая 42, усадьба Барышникова Регистрация
🔥10🥰2😍2
Signed Евгения Левицки
Когда собирала подарки участникам марафона #литературныеманипуляторы, запорола открытку с Дарием. Рядом оказался маркер, а в голове возникли образы: Игорь Ливанов в роли Д'Антрагэ и Евгений Дворжецкий в роли Генриха III из сериала "Графиня де Монсоро". Как вам усатый Дарий?)
❤13😁3👏1
Signed Евгения Левицки
ГАЙЗ Польская обложка МиМ, которой любезно поделились а вавилонском твиттере
😁7
Signed Евгения Левицки
Нет, это не Япония. Это Ботанический сад Петра Великого. Одно из любимых мест для прогулок
❤15😍7
Signed Евгения Левицки
Более развёрнуто поделилась мыслями в ВК. Обкашляем темку?👈 Как считаете, это реальная проблема или просто способ отсеять лишних творцов?
❤4😢3
Signed Евгения Левицки
Рисуем третью иллюстрацию к "Повелителю душ"😁 решаем, нужны ли нам там пизд... то есть призраки 😳
😁9
Signed Евгения Левицки
А на дне у нее автограф)) 😈
❤12👍3😍3🔥1
Signed Евгения Левицки
Вот, какой она была после сушки и обжига! Светленькая и красивенькая)) Далее я нанесла эмаль и уже после этого ее запекли еще раз. На последнем фото результат. Кружка вышла немного кривая и стенки у нее толстые, но мне все равно нравится))
❤10🔥9
Signed Евгения Левицки
Showing the 10 most recent of 10 posts we hold for @levitsky_insight. 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 — 1,044,084 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Где книги, Левицки?! | ИНСАЙТ и некромантия” (@levitsky_insight), 186 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/levitsky_insight.
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.