Telegram RegisterThe public register of Telegram

Channel

Нина Малкина. Госпожа Демиург

@kvertind

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

3,200subscribers

-3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001715487333
TypeChannel
Username@kvertind
Created19 January 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/kvertind

Growth

3,2003,2033,201.56 August 2026 — 3,203 subscribers6 August 2026 — 3,203 subscribers10 August 2026 — 3,200 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net -3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,200–3,203 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 05:323,200-3
6 Aug 2026, 10:523,203no change
6 Aug 2026, 09:593,203first reading

Engagement

13 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.1%
avg views ÷ 3,200 subscribers
Avg views / post
706
13 posts measured
Reaction rate
12.9%
reactions ÷ views · ER floor
Posts in window
13
of 13 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held13 (2 August 20267 August 2026)
Views total9,183
Reactions total1,182
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:42 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.

What this channel posts

Video runtime
15s
Average length
15s

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.

Reaction mix

1,182 reactions across 13 posts, in 14 distinct kinds. The most used accounts for 28.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣34228.9%
😁20717.5%
🔥12210.3%
1189.98%
custom 5350647360886155806665.58%
🤝665.58%
💯645.41%
custom 5343600028223024216534.48%
❤‍🔥443.72%
custom 5323589457763383248332.79%
👏282.37%
custom 5355255469952742281201.69%
custom 5323790930384269300161.35%
💅30.254%

Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 13 of the 13 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 1,182reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 2 August 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 13 we hold a reading for · 8%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kvertind. 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 13 most recent posts we hold for this entry, published 2 August 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.

Recent posts

7 Aug 2026, 12:40 UTC403 views110 reactions1 Starread 7 August 2026
Photo

Обожаю, обожаю, когда говорят «Читаю каждый ваш пост, хотя вообще-то блоги читаю редко и через раз». Секрет прост. Пока другие заносят в качестве контента лёгкий бульончик для души, Нина Малкина наваливает мяса. Всем приятного аппетита!

🤣81💯14😁132

6 Aug 2026, 11:18 UTC597 views81 reactionsread 7 August 2026

— ага привет, да, сейчас за границу собираюсь, знаешь, путешествия так важны... другой язык, другие люди, совсем другая культура, другой быт... нужно почаще выбираться за рубеж — ты же едешь в Минск — всё не могу говорить, да, да, хочу узнать у местного населения что-то об их уникальной жизни... девушка! да, вы, как же это... прабачце, калі ласка, а як гэта — жыць 32 гады пры адным прэзідэнце?

🤣60😁11👏82

6 Aug 2026, 08:09 UTC613 views116 reactionsread 7 August 2026
Photo

Снилось мне, что Квертинд экранизируют. Я как автор сижу в кресле рядом с кастинг-директором и знакомлюсь с актёром, которого мы вместе утвердили на пробах. Его зовут Михаил Вальдес, он модель и ещё никогда не снимался в кино. Дед его был испанец, каким-то чудом попавшим в Россию. Не спрашивайте. Безусловно, Михаил красив, потому что красивый актёр — залог успеха экранизации. Несмотря на то, что каноничный «книжный

🤣83🔥20custom 53506473608861558068custom 532379093038426930031custom 53436000282230242161

5 Aug 2026, 14:14 UTC675 views120 reactionsread 7 August 2026

Не думала, что это и до моего канала докатится, но так уж вышло. Ледиз, вы всё знаете и сами, но я напомню: никто здесь, ни сама Нина Малкина, ни кто-либо из команды Квертинда, ни кто-либо из команды PLOMP Production НЕ ПИШЕТ ВАМ ПЕРВЫМИ И НЕ ПРЕДЛАГАЕТ НИЧЕГО КУПИТЬ. Вы можете только сами инициировать диалог с официальными контактами, указанными на главной странице официальных каналов. Если кто-то стучится в личны

🤝66💯29🔥178

5 Aug 2026, 09:38 UTC711 views116 reactionsread 7 August 2026

Ледиз, некогда объяснять, срочный вопрос. Вам присылали дикпики? Мне — всего один раз. Помню, прощалась с одной ММО-игрой, в которой провела несколько лет. Трагичный, душевыворачиващий момент. Особенно когда приходится раздеваться и вывалить сундуки, продавая всё, что было нажито непосильным трудом. Ощущение, как будто предаёшь своего персонажа. Но, как говорится, грех на душу, а деньги на карту (нет, так не говорит

😁58🤣45🔥103

5 Aug 2026, 05:36 UTC700 views91 reactionsread 7 August 2026
Photo

На одном популярном канале провели опрос, какой тип мужской фигуры нравится женщинам. С картинками, да. Выяснилось неожиданное. Качки и спортсмены с теми-сами-кубиками-на-животе оказались одной из самых несексуальных мужских фигур, уступив место аутсайдера только мужчинам с крайней степенью ожирения. А я всегда знала, что качки нравятся только другим качкам и самим себе. Так что если вы мужчина — порадуйте себя кр

custom 53506473608861558065818custom 532379093038426930012custom 53436000282230242163

5 Aug 2026, 05:00 UTC650 views71 reactionsread 7 August 2026
Forwarded from @plompproductionPhoto

👑❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥👑 🌚❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥❤️‍🔥🌚 Кто смотрел трансляцию, видел, что мы изготавливаем фигурки по книгам. В частности, мы показывали Юну и Демиурга из Квертинда. Все фигурки в наличии уже проданы. ❤️‍🔥❤️‍🔥 если вы не успели забрать своего любимого персонажа - не расстраивайтесь! Теперь такие фигурки доступны ПОД ЗАКАЗ❗️ Что нужно знать: • Эксклюзивность: Каждая фигурка - это ру

custom 534360002822302421633custom 535525546995274228117custom 532358945776338324810🔥74

4 Aug 2026, 15:19 UTC695 views104 reactionsread 7 August 2026
Photo

Ледиз, я ничего не жмала, честное слово, оно само сломалось! Наша читательница Юля прислала вот этот грустный мем. Не уверена, что это хорошая реклама цикла... 🌚 Но вам всё равно покажу.

😁62💯21custom 534360002822302421616custom 532358945776338324831custom 53237909303842693001

4 Aug 2026, 12:20 UTC785 views76 reactionsread 7 August 2026
Photo

Если бы существовали литературные курсы от Нины Малкиной, то это были бы самые экспертные, полезные и содержательные литературные курсы, после которых каждый писатель автоматически сразу писал бы шедевр мирового или хотя бы всероссийского масштаба. Вот доказательство.

🤣47😁20👏6💅3

4 Aug 2026, 09:25 UTC784 views52 reactionsread 7 August 2026
Photo

Время поговорить о вас. Традиционно после дня анонимных вопросов мы говорим о людях этого канала, об их увлечениях и хобби, делимся ссылками на блоги друг друга (и подписываемся!). Это пост самопиара. Под этим сообщением можно: 1. Рассказать о себе, своём творчестве, продукте или услугах. 2. Прикрепить картинку (фото, обложка, иллюстрация). 3. Дать ссылку на свой блог/книгу/магазин. 4. Лайкнуть понравившихся участни

❤‍🔥2914🔥6custom 53552554699527422813

3 Aug 2026, 09:10 UTC860 views78 reactionsread 7 August 2026
Photo

Всем известно, что гуманная и простодушная Госпожа Демиург периодически применяет психологические пытки к читателям в этом блоге. Каверзные вбросы, сложные выборы, эмоциональные качели и недосказанности. В общем, тот ещё горящий цирк. Но должен быть справедливый обмен, помните? Как учил нас всех ментор чёрного паука. Поэтому изредка здесь появляется рубрика анонимных вопросов. Когда всё меняется местами, и пытают у

🔥4518custom 532358945776338324815

2 Aug 2026, 13:24 UTC887 views79 reactionsread 7 August 2026
Photo

Это была одна из тех недель, что умещают в себе эмоций и событий на год вперёд. Делюсь с вами шестью кадрами. Показывайте свои?

47🔥17❤‍🔥15

Showing the 12 most recent of 13 posts we hold for @kvertind. 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

Citation-graph rank — 420,821 of 1,160,990entries 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 3 registered channels — 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.

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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Нина Малкина. Госпожа Демиург” (@kvertind), 3,200 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/kvertind.

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.