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Channel

Саня Кво: дизайн, развитие и study kvo

@study_kvo

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

26,031subscribers

-227 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001185692373
TypeChannel
Username@study_kvo
DescriptionКанал основателя Study Kvo. Здесь выходят видеоуроки, подкасты и кружочки с котом. 🔑 Клуб: https://sanya-kvo.ru/status Study Kvo в ВК: https://vk.com/study_kvo РКН https://www.gosuslugi.ru/snet/6787c7746aa9672b96b96f14 По рекламе: @sanya_kvo
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/study_kvo

Growth

26,03126,25826,144.57 August 2026 — 26,258 subscribers7 August 2026 — 26,258 subscribers8 August 2026 — 26,243 subscribers8 August 2026 — 26,226 subscribers9 August 2026 — 26,210 subscribers11 August 2026 — 26,180 subscribers12 August 2026 — 26,145 subscribers13 August 2026 — 26,115 subscribers14 August 2026 — 26,076 subscribers16 August 2026 — 26,056 subscribers17 August 2026 — 26,031 subscribers7 August 202617 August 2026
11 measurements spanning 10 days, net -227. 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 25,997–26,292 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 12:5626,031-25
16 Aug 2026, 02:5426,056-20
14 Aug 2026, 15:3826,076-39
13 Aug 2026, 03:1426,115-30
12 Aug 2026, 01:5226,145-35
11 Aug 2026, 01:0326,180-30
9 Aug 2026, 22:1126,210-16
8 Aug 2026, 23:0426,226-17
8 Aug 2026, 01:1226,243-15
7 Aug 2026, 09:3026,258no change
7 Aug 2026, 09:2726,258first reading

Engagement

16 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 25 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.34%
avg views ÷ 26,031 subscribers
Avg views / post
2,430
16 posts measured
Reaction rate
2.75%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 11 August 2026
Posts held16 (23 July 202611 August 2026)
Views total38,920
Reactions total1,071
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 13:56 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

Photos
628
Videos
75
Links
231

Lifetime counters from Telegram’s own channel header, read 17 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.

Reaction mix

1,071 reactions across 16 posts, in 16 distinct kinds. The most used accounts for 24.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣26024.3%
custom 535482078060768028618116.9%
16715.6%
😁13913.0%
🔥13012.1%
custom 5352652509317967258706.54%
😭686.35%
😍121.12%
🗿111.03%
🙈111.03%
🙏60.56%
🤩60.56%
👍40.373%
30.28%
🆒20.187%
💯10.093%

Custom emoji. 2 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 16 of the 16 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 1,071reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 23 July 2026 to 11 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
7
across the posts below
Posts paid on
7
of 16 we hold a reading for · 44%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @study_kvo. 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 16 most recent posts we hold for this entry, published 23 July 2026 to 11 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

11 Aug 2026, 12:08 UTC≈1,430 views108 reactions1 Starread 17 August 2026
Photo

Нет, ну я всё понимаю, но если не нравятся мои посты, так и скажите.. Зачем сразу прибегать к крайностям?

🤣69😁18custom 53548207806076802861452

10 Aug 2026, 13:58 UTC≈1,660 views59 reactions1 Starread 17 August 2026
Photo

Не, ну как приятно ❤️❤️ Это мы участникам листа ожидания, кто по 1-3 месяца ждёт обучение, отправляем в подарок А4-воркбуки

🔥3113custom 535482078060768028610custom 53526525093179672584🆒1

5 Aug 2026, 13:16 UTC≈2,620 views157 reactions1 Starread 17 August 2026
Photo

Это уже клиника Читаю Гоголя: «AI теперь хорошо!» Не понял. Перечитал 🗿

😁96🤣44🗿7custom 5354820780607680286631

3 Aug 2026, 14:48 UTC≈2,500 views49 reactionsread 17 August 2026
Photo

Ну в какое время-то живём! Уже и контент-планы с таймингом предлагают)) Это перечисление «СММ, ИИ, монтаж» разблокировало воспоминание из детства: На рынке, где мы покупали продукты, женщина постоянно громко призывала покупать химикаты у неё: «От тараканов, от молей, от крыс!»

🤣29custom 535482078060768028615😁41

3 Aug 2026, 08:44 UTC≈2,230 views46 reactions1 Starread 17 August 2026
Photo

Столько стиля и красоты наделали, я доволен! Хочу показать вам небольшой кусочек челленджа по AI-брендингу, который мы сегодня в клубе зафиналили • каждый выбрал сферу, заполнил бриф • с брифом и промтом получили пачку концепций, докрутили • с концепцией и промтом нагенерили логотипов, докрутили, выбрали лучший • перевели в вектор • с промтом сгенерили паттерн • потом с промтом и логотипом сгенерили носители Довол

🔥2411🤩5custom 53548207806076802863😍2👍1

1 Aug 2026, 08:11 UTC≈2,210 views76 reactionsread 17 August 2026
Photo

Перехожу с Эпловской мыши спустя 8 лет Последние 8 лет я использовал только Apple Magic Mouse. Простая, эстетичная и даже почти не бесила зарядка на брюшке Но мышь стала быстро разряжаться, дисконнектиться и тупить в самый неподходящий момент, хотя ей всего 1 год Провёл небольшой речёрч и взял себе Logitech как на фото. После Эпловских они все кажутся как Lada Largus после Tesla, но если будет работать норм, то п

custom 535482078060768028637😁17🔥9custom 535265250931796725874🤣2

31 Jul 2026, 10:25 UTC≈2,380 views54 reactions1 Starread 17 August 2026
Photo

Подвёз вам: зацените работу Насти! На итоговом задании курса «UX/UI: Буст карьеры» можно выбрать как ты будешь его делать: по заданию, сделать редизайн существующего сервиса или что-то своё. Настя выбрала третий вариант и сделала свой проект, посвящённый мемам! Смотрите на Behance: behance.net/gallery/253539243/Social-Mobile-App-Memcheck-for-iOS-Android

🔥2611custom 535482078060768028610custom 53526525093179672584👍1🗿1🤩1

30 Jul 2026, 11:16 UTC≈2,540 views73 reactionsread 17 August 2026
Photo

Ты: что-то выдумываешь, собираешь референсы, экспериментируешь, создаёшь 100500 вариантов для каждого блока Дизайнеры из известных брендов: а давайте сделаем навигацию как в Excel!

🤣45custom 535265250931796725821custom 53548207806076802866😭1

29 Jul 2026, 13:33 UTC≈2,490 views43 reactionsread 17 August 2026
Photo

Ребятааа, жду вас через 3 часа 🙂

17😍10custom 53526525093179672587custom 53548207806076802867🔥2

29 Jul 2026, 09:04 UTC≈2,370 views103 reactions1 Starread 17 August 2026
Photo

Желаю, чтобы заказчики также встречали ваш дизайн как моего кота вчера на эфире 😂

43custom 535482078060768028628🤣17custom 535265250931796725811😁4

28 Jul 2026, 18:58 UTC≈2,570 views50 reactionsread 17 August 2026
Photo

Друзья, как обещал на эфире, ловите ссылки на работы студентов курса «UX/UI Буст карьеры» – платёжный сервис, Максим Ионин – event-сервис, Элеонора Эванс – электронный кошелёк, Екатерина Кустова – городской сервис, Виталий Воронов – аренда жилья, Полина Кошельникова – умный ЖК, Александр Володкович Все эти проекты сделаны в рамках домашних заданий на курсе и заслуживают ваших лайков и комментариев!

26custom 535482078060768028611custom 53526525093179672587🔥6

28 Jul 2026, 12:31 UTC≈2,710 views56 reactions1 Starread 17 August 2026

Слышали ведь про принцип Парето 20-80? Мне кажется, все проблемы дизайнеров (начинающих, действующих) хорошо ложатся на эти цифры: 20% — проблемы навыков 80% — проблемы в голове Разобраться в первом проще всего, а вот во втором у многих не получается. За всё время у меня вышло почти 30 выпусков подкастов и, кажется, три из них могут особенно помочь в этих непонятных 80%. Залетайте послушать. А если уже слушали,

🔥30custom 5354820780607680286116🙏6👍2🆒1

Showing the 12 most recent of 16 posts we hold for @study_kvo. 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 — 1,171,343 of 1,480,975entries 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.

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.

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

“Саня Кво: дизайн, развитие и study kvo” (@study_kvo), 26,031 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/study_kvo.

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.